CORSAIR CORSAIR VENGEANCE i7600
Geekbench ML Score
21409
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 06:14 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% |
9658
1.81 KIPS |
|
|
Image Classification (F16)
|
100% |
10470
1.96 KIPS |
|
|
Image Classification (I8)
|
100% |
8878
1.66 KIPS |
|
|
Image Segmentation (F32)
|
100% |
16532
276.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
15982
266.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
14108
235.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
157037
190.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
156353
189.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
141060
170.8 IPS |
|
|
Object Detection (F32)
|
100% |
7329
547.1 IPS |
|
|
Object Detection (F16)
|
100% |
7502
560.1 IPS |
|
|
Object Detection (I8)
|
63% |
6836
510.4 IPS |
|
|
Face Detection (F32)
|
100% |
31595
375.7 IPS |
|
|
Face Detection (F16)
|
100% |
32449
385.8 IPS |
|
|
Face Detection (I8)
|
89% |
27674
329.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
61892
480.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
57773
448.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
47847
371.1 IPS |
|
|
Style Transfer (F32)
|
100% |
268429
353.1 IPS |
|
|
Style Transfer (F16)
|
100% |
256746
337.7 IPS |
|
|
Style Transfer (I8)
|
98% |
232624
306.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
35527
1.27 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
31833
1.14 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
26316
939.8 IPS |
|
|
Text Classification (F32)
|
100% |
2837
4.08 KIPS |
|
|
Text Classification (F16)
|
100% |
2887
4.15 KIPS |
|
|
Text Classification (I8)
|
98% |
1789
2.57 KIPS |
|
|
Machine Translation (F32)
|
100% |
4563
84.0 IPS |
|
|
Machine Translation (F16)
|
100% |
4643
85.4 IPS |
|
|
Machine Translation (I8)
|
70% |
2644
48.7 IPS |
