CORSAIR CORSAIR VENGEANCE i7600
Geekbench ML Score
21290
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 06:13 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | CORSAIR CORSAIR VENGEANCE i7600 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-P WIFI (MS-7E34) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| L1 Instruction Cache | 64.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 3.00 MB x 2 |
| L3 Cache | 30.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
9550
1.79 KIPS |
|
|
Image Classification (F16)
|
100% |
10282
1.92 KIPS |
|
|
Image Classification (I8)
|
100% |
9083
1.70 KIPS |
|
|
Image Segmentation (F32)
|
100% |
16457
274.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
15831
264.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
13971
233.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
157648
190.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
157390
190.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
136459
165.2 IPS |
|
|
Object Detection (F32)
|
100% |
7518
561.3 IPS |
|
|
Object Detection (F16)
|
100% |
7506
560.4 IPS |
|
|
Object Detection (I8)
|
63% |
6879
513.5 IPS |
|
|
Face Detection (F32)
|
100% |
31655
376.4 IPS |
|
|
Face Detection (F16)
|
100% |
31831
378.5 IPS |
|
|
Face Detection (I8)
|
89% |
27803
330.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
62495
484.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
58032
450.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
47368
367.3 IPS |
|
|
Style Transfer (F32)
|
100% |
254389
334.6 IPS |
|
|
Style Transfer (F16)
|
100% |
249172
327.8 IPS |
|
|
Style Transfer (I8)
|
98% |
228944
301.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
32890
1.17 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
32752
1.17 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
28510
1.02 KIPS |
|
|
Text Classification (F32)
|
100% |
2808
4.04 KIPS |
|
|
Text Classification (F16)
|
100% |
2836
4.08 KIPS |
|
|
Text Classification (I8)
|
98% |
1798
2.58 KIPS |
|
|
Machine Translation (F32)
|
100% |
4509
83.0 IPS |
|
|
Machine Translation (F16)
|
100% |
4564
84.0 IPS |
|
|
Machine Translation (I8)
|
70% |
2600
47.8 IPS |
