Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
14039
Single Precision Score
23103
Half Precision Score
24270
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 14 2025 05:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A750 Graphics (dGPU) |
| 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% |
5954
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
8823
1.64 KIPS |
|
|
Image Classification (Q)
|
100% |
9208
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17827
289.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
26826
434.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
27520
446.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
65835
76.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
203079
237.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
279677
327.4 IPS |
|
|
Object Detection (SP)
|
100% |
5683
450.8 IPS |
|
|
Object Detection (HP)
|
100% |
11176
886.5 IPS |
|
|
Object Detection (Q)
|
88% |
12031
964.1 IPS |
|
|
Face Detection (SP)
|
100% |
25357
301.3 IPS |
|
|
Face Detection (HP)
|
100% |
35159
417.8 IPS |
|
|
Face Detection (Q)
|
100% |
36015
427.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
25223
194.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
56262
433.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
59431
462.0 IPS |
|
|
Style Transfer (SP)
|
100% |
178509
229.5 IPS |
|
|
Style Transfer (HP)
|
100% |
308972
397.2 IPS |
|
|
Style Transfer (Q)
|
98% |
384622
496.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17708
653.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27075
999.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27383
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
1872
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
1657
2.21 KIPS |
|
|
Text Classification (Q)
|
92% |
1256
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1979
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2942
50.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2938
50.6 IPS |
