Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
10005
Single Precision Score
10513
Half Precision Score
17380
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Lyth03 |
| Upload Date | August 24 2025 02:49 AM |
| Views | 5 |
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 | 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% |
6197
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
7209
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
10955
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8726
141.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4840
78.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
13350
216.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15367
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
15008
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
33212
38.9 IPS |
|
|
Object Detection (SP)
|
100% |
6242
495.1 IPS |
|
|
Object Detection (HP)
|
100% |
7551
599.0 IPS |
|
|
Object Detection (Q)
|
88% |
11954
958.2 IPS |
|
|
Face Detection (SP)
|
100% |
17626
209.4 IPS |
|
|
Face Detection (HP)
|
100% |
21303
253.1 IPS |
|
|
Face Detection (Q)
|
100% |
31525
374.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15847
122.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18286
140.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
32715
254.4 IPS |
|
|
Style Transfer (SP)
|
100% |
42522
54.7 IPS |
|
|
Style Transfer (HP)
|
100% |
42160
54.2 IPS |
|
|
Style Transfer (Q)
|
98% |
94429
121.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9134
337.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9415
347.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17874
661.9 IPS |
|
|
Text Classification (SP)
|
100% |
4338
5.79 KIPS |
|
|
Text Classification (HP)
|
100% |
3411
4.55 KIPS |
|
|
Text Classification (Q)
|
92% |
6159
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4121
71.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7915
136.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4041
69.6 IPS |
