Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
9853
Single Precision Score
10293
Half Precision Score
16066
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 09 2025 10:41 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E54 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-S WIFI (MS-7E54) |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6503
1.21 KIPS |
|
|
Image Classification (HP)
|
100% |
7198
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
10344
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8628
139.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2835
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3544
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15684
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34727
40.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
74671
87.5 IPS |
|
|
Object Detection (SP)
|
100% |
6361
504.6 IPS |
|
|
Object Detection (HP)
|
100% |
6115
485.1 IPS |
|
|
Object Detection (Q)
|
88% |
10532
844.4 IPS |
|
|
Face Detection (SP)
|
100% |
17067
202.8 IPS |
|
|
Face Detection (HP)
|
100% |
18044
214.4 IPS |
|
|
Face Detection (Q)
|
100% |
33758
401.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15298
117.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
18660
143.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
34628
269.4 IPS |
|
|
Style Transfer (SP)
|
100% |
43286
55.6 IPS |
|
|
Style Transfer (HP)
|
100% |
54222
69.7 IPS |
|
|
Style Transfer (Q)
|
98% |
98938
127.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9207
340.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16241
599.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31651
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
4538
6.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2200
2.94 KIPS |
|
|
Text Classification (Q)
|
92% |
2273
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3265
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4726
81.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4777
82.3 IPS |
