Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
9830
Single Precision Score
10573
Half Precision Score
17509
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 09 2025 10:57 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| 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% |
6196
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
7275
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
10686
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8519
138.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5066
82.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13409
217.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15150
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12058
14.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
33225
38.9 IPS |
|
|
Object Detection (SP)
|
100% |
6314
500.8 IPS |
|
|
Object Detection (HP)
|
100% |
7809
619.4 IPS |
|
|
Object Detection (Q)
|
88% |
12119
971.5 IPS |
|
|
Face Detection (SP)
|
100% |
16885
200.6 IPS |
|
|
Face Detection (HP)
|
100% |
22037
261.8 IPS |
|
|
Face Detection (Q)
|
100% |
31592
375.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14838
114.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18537
142.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
32307
251.2 IPS |
|
|
Style Transfer (SP)
|
100% |
41826
53.8 IPS |
|
|
Style Transfer (HP)
|
100% |
44635
57.4 IPS |
|
|
Style Transfer (Q)
|
98% |
95547
123.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9110
336.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9885
365.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18357
679.8 IPS |
|
|
Text Classification (SP)
|
100% |
4423
5.90 KIPS |
|
|
Text Classification (HP)
|
100% |
3467
4.63 KIPS |
|
|
Text Classification (Q)
|
92% |
6241
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3954
68.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8051
138.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4203
72.4 IPS |
