Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
6360
Single Precision Score
3790
Half Precision Score
15096
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 07:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E54 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-S WIFI (MS-7E54) |
| 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4157
773.1 IPS |
|
|
Image Classification (HP)
|
100% |
1874
348.6 IPS |
|
|
Image Classification (Q)
|
100% |
9360
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5142
83.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2373
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10604
171.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7980
9.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
5336
6.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
31281
36.6 IPS |
|
|
Object Detection (SP)
|
100% |
3812
302.4 IPS |
|
|
Object Detection (HP)
|
100% |
2081
165.1 IPS |
|
|
Object Detection (Q)
|
88% |
10252
821.8 IPS |
|
|
Face Detection (SP)
|
100% |
11562
137.4 IPS |
|
|
Face Detection (HP)
|
100% |
5592
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
27237
323.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10276
79.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5974
46.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
29013
225.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24177
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15398
19.8 IPS |
|
|
Style Transfer (Q)
|
98% |
87320
112.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4995
184.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3552
131.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16211
600.4 IPS |
|
|
Text Classification (SP)
|
100% |
4066
5.43 KIPS |
|
|
Text Classification (HP)
|
100% |
2380
3.18 KIPS |
|
|
Text Classification (Q)
|
92% |
5946
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2857
49.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2850
49.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2904
50.0 IPS |
