CORSAIR CORSAIR VENGEANCE i7600
Geekbench ML Score
6201
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 06:09 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3122
584.2 IPS |
|
|
Image Classification (F16)
|
100% |
3097
579.5 IPS |
|
|
Image Classification (I8)
|
99% |
5282
988.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2359
39.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2339
39.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
3790
63.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
14429
17.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
14438
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
48194
58.4 IPS |
|
|
Object Detection (F32)
|
100% |
3096
231.2 IPS |
|
|
Object Detection (F16)
|
100% |
3114
232.5 IPS |
|
|
Object Detection (I8)
|
62% |
2795
208.6 IPS |
|
|
Face Detection (F32)
|
100% |
6206
73.8 IPS |
|
|
Face Detection (F16)
|
100% |
6193
73.6 IPS |
|
|
Face Detection (I8)
|
89% |
6266
74.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
13814
107.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
13528
104.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
23571
182.8 IPS |
|
|
Style Transfer (F32)
|
100% |
32818
43.2 IPS |
|
|
Style Transfer (F16)
|
100% |
32726
43.0 IPS |
|
|
Style Transfer (I8)
|
98% |
32460
42.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5842
208.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6009
214.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7701
275.0 IPS |
|
|
Text Classification (F32)
|
100% |
1851
2.66 KIPS |
|
|
Text Classification (F16)
|
100% |
1828
2.63 KIPS |
|
|
Text Classification (I8)
|
98% |
1451
2.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
3014
55.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3062
56.4 IPS |
|
|
Machine Translation (I8)
|
67% |
4547
83.7 IPS |
