Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
5638
Single Precision Score
9023
Half Precision Score
13700
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 14 2025 05:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E32 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-A WIFI (MS-7E32) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285T |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3808
708.2 IPS |
|
|
Image Classification (HP)
|
100% |
5997
1.12 KIPS |
|
|
Image Classification (Q)
|
100% |
7987
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3601
58.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8648
140.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
12559
203.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12175
14.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
11393
13.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
36871
43.2 IPS |
|
|
Object Detection (SP)
|
100% |
3598
285.4 IPS |
|
|
Object Detection (HP)
|
100% |
5704
452.5 IPS |
|
|
Object Detection (Q)
|
88% |
9535
764.1 IPS |
|
|
Face Detection (SP)
|
100% |
7499
89.1 IPS |
|
|
Face Detection (HP)
|
100% |
14844
176.4 IPS |
|
|
Face Detection (Q)
|
100% |
23502
279.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12663
97.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
22217
171.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
25886
201.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29987
38.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40963
52.7 IPS |
|
|
Style Transfer (Q)
|
98% |
85000
109.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5284
195.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9526
351.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14983
554.9 IPS |
|
|
Text Classification (SP)
|
71% |
1618
2.34 KIPS |
|
|
Text Classification (HP)
|
71% |
2588
3.74 KIPS |
|
|
Text Classification (Q)
|
92% |
2661
3.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2220
38.2 IPS |
|
|
Machine Translation (HP)
|
96% |
3187
55.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3204
55.2 IPS |
