CORSAIR CORSAIR VENGEANCE i7600
Geekbench ML Score
6169
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 06:07 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% |
3057
572.1 IPS |
|
|
Image Classification (F16)
|
100% |
3014
563.9 IPS |
|
|
Image Classification (I8)
|
99% |
5292
990.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2359
39.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2328
38.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
3760
62.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
14499
17.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
14451
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
48245
58.4 IPS |
|
|
Object Detection (F32)
|
100% |
3101
231.5 IPS |
|
|
Object Detection (F16)
|
100% |
3066
228.9 IPS |
|
|
Object Detection (I8)
|
62% |
2822
210.7 IPS |
|
|
Face Detection (F32)
|
100% |
6157
73.2 IPS |
|
|
Face Detection (F16)
|
100% |
6173
73.4 IPS |
|
|
Face Detection (I8)
|
89% |
6187
73.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
14035
108.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
13656
105.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
22447
174.1 IPS |
|
|
Style Transfer (F32)
|
100% |
32910
43.3 IPS |
|
|
Style Transfer (F16)
|
100% |
32372
42.6 IPS |
|
|
Style Transfer (I8)
|
98% |
32528
42.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5898
210.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5939
212.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7363
263.0 IPS |
|
|
Text Classification (F32)
|
100% |
1892
2.72 KIPS |
|
|
Text Classification (F16)
|
100% |
1834
2.64 KIPS |
|
|
Text Classification (I8)
|
98% |
1455
2.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
3017
55.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2992
55.1 IPS |
|
|
Machine Translation (I8)
|
67% |
4523
83.2 IPS |
