Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
7307
Single Precision Score
6335
Half Precision Score
14432
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 08:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E54 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-S WIFI (MS-7E54) |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4015
746.6 IPS |
|
|
Image Classification (HP)
|
100% |
2572
478.3 IPS |
|
|
Image Classification (Q)
|
100% |
8972
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5641
91.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3335
54.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10482
169.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12714
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12798
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
28684
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
4293
340.5 IPS |
|
|
Object Detection (HP)
|
100% |
2862
227.0 IPS |
|
|
Object Detection (Q)
|
88% |
9285
744.3 IPS |
|
|
Face Detection (SP)
|
100% |
11737
139.5 IPS |
|
|
Face Detection (HP)
|
100% |
8258
98.1 IPS |
|
|
Face Detection (Q)
|
100% |
25091
298.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12728
98.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11649
89.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
26862
208.8 IPS |
|
|
Style Transfer (SP)
|
100% |
36482
46.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36559
47.0 IPS |
|
|
Style Transfer (Q)
|
98% |
80494
103.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6431
237.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6498
239.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16009
592.9 IPS |
|
|
Text Classification (SP)
|
100% |
3315
4.42 KIPS |
|
|
Text Classification (HP)
|
100% |
3034
4.05 KIPS |
|
|
Text Classification (Q)
|
92% |
6036
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3025
52.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4783
82.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2986
51.4 IPS |
