Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
5527
Single Precision Score
8658
Half Precision Score
12820
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 25 2025 09:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E54 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-S WIFI (MS-7E54) |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3809
708.4 IPS |
|
|
Image Classification (HP)
|
100% |
5676
1.06 KIPS |
|
|
Image Classification (Q)
|
100% |
7355
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3572
57.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8112
131.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11130
180.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12050
14.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
11300
13.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
33891
39.7 IPS |
|
|
Object Detection (SP)
|
100% |
3511
278.5 IPS |
|
|
Object Detection (HP)
|
100% |
5376
426.4 IPS |
|
|
Object Detection (Q)
|
88% |
8640
692.4 IPS |
|
|
Face Detection (SP)
|
100% |
7530
89.5 IPS |
|
|
Face Detection (HP)
|
100% |
15003
178.3 IPS |
|
|
Face Detection (Q)
|
100% |
23775
282.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12553
96.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
21648
167.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
24697
192.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29242
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
40060
51.5 IPS |
|
|
Style Transfer (Q)
|
98% |
82660
106.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5269
194.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9343
345.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14432
534.5 IPS |
|
|
Text Classification (SP)
|
71% |
1584
2.29 KIPS |
|
|
Text Classification (HP)
|
71% |
2504
3.62 KIPS |
|
|
Text Classification (Q)
|
92% |
2584
3.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2006
34.6 IPS |
|
|
Machine Translation (HP)
|
96% |
2780
48.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2764
47.6 IPS |
