Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
9777
Single Precision Score
2148
Half Precision Score
3399
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Lyth03 |
| Upload Date | August 24 2025 02:46 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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 | Ultimate Performance |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6322
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
1451
269.9 IPS |
|
|
Image Classification (Q)
|
100% |
2083
387.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
8704
141.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
593
9.61 IPS |
|
|
Image Segmentation (Q)
|
99% |
738
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15310
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
7169
8.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
15373
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
6177
490.0 IPS |
|
|
Object Detection (HP)
|
100% |
1247
98.9 IPS |
|
|
Object Detection (Q)
|
88% |
2135
171.2 IPS |
|
|
Face Detection (SP)
|
100% |
17908
212.8 IPS |
|
|
Face Detection (HP)
|
100% |
3436
40.8 IPS |
|
|
Face Detection (Q)
|
100% |
6433
76.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15653
120.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4182
32.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
7769
60.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43192
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12571
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
22898
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9007
332.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3028
111.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6598
244.3 IPS |
|
|
Text Classification (SP)
|
100% |
4361
5.82 KIPS |
|
|
Text Classification (HP)
|
100% |
487
650.0 IPS |
|
|
Text Classification (Q)
|
92% |
507
680.5 IPS |
|
|
Machine Translation (SP)
|
100% |
3228
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1021
17.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1066
18.4 IPS |
