CORSAIR CORSAIR VENGEANCE i7600
Geekbench ML Score
3051
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 06:20 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% |
2126
397.9 IPS |
|
|
Image Classification (F16)
|
100% |
2112
395.2 IPS |
|
|
Image Classification (I8)
|
99% |
1613
301.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1768
29.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1739
29.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1376
23.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
8606
10.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
8476
10.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
7956
9.63 IPS |
|
|
Object Detection (F32)
|
100% |
2160
161.3 IPS |
|
|
Object Detection (F16)
|
100% |
2151
160.6 IPS |
|
|
Object Detection (I8)
|
60% |
1704
127.2 IPS |
|
|
Face Detection (F32)
|
100% |
4228
50.3 IPS |
|
|
Face Detection (F16)
|
100% |
4086
48.6 IPS |
|
|
Face Detection (I8)
|
88% |
2770
32.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
8217
63.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
8335
64.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
6479
50.2 IPS |
|
|
Style Transfer (F32)
|
100% |
24839
32.7 IPS |
|
|
Style Transfer (F16)
|
100% |
23392
30.8 IPS |
|
|
Style Transfer (I8)
|
98% |
19729
26.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3820
136.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3841
137.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2862
102.2 IPS |
|
|
Text Classification (F32)
|
90% |
774
1.11 KIPS |
|
|
Text Classification (F16)
|
90% |
770
1.11 KIPS |
|
|
Text Classification (I8)
|
90% |
527
757.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1054
19.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1065
19.6 IPS |
|
|
Machine Translation (I8)
|
70% |
679
12.5 IPS |
