CORSAIR CORSAIR VENGEANCE i7600
Geekbench ML Score
3072
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 06:16 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 | Intel(R) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2093
391.7 IPS |
|
|
Image Classification (F16)
|
100% |
2105
393.9 IPS |
|
|
Image Classification (I8)
|
99% |
1698
317.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1817
30.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1748
29.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1428
23.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
8988
10.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
9054
11.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
7386
8.94 IPS |
|
|
Object Detection (F32)
|
100% |
2108
157.3 IPS |
|
|
Object Detection (F16)
|
100% |
2164
161.6 IPS |
|
|
Object Detection (I8)
|
60% |
1687
125.9 IPS |
|
|
Face Detection (F32)
|
100% |
4585
54.5 IPS |
|
|
Face Detection (F16)
|
100% |
4397
52.3 IPS |
|
|
Face Detection (I8)
|
88% |
2919
34.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
8219
63.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
7967
61.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
6350
49.2 IPS |
|
|
Style Transfer (F32)
|
100% |
23749
31.2 IPS |
|
|
Style Transfer (F16)
|
100% |
24551
32.3 IPS |
|
|
Style Transfer (I8)
|
98% |
19462
25.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3768
134.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3828
136.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2789
99.6 IPS |
|
|
Text Classification (F32)
|
90% |
775
1.11 KIPS |
|
|
Text Classification (F16)
|
90% |
769
1.11 KIPS |
|
|
Text Classification (I8)
|
90% |
535
768.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1050
19.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1059
19.5 IPS |
|
|
Machine Translation (I8)
|
70% |
681
12.5 IPS |
