Micro-Star International Co., Ltd. MS-7E41
Geekbench AI Score
29689
Single Precision Score
42810
Half Precision Score
25729
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 07 2025 04:42 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E41 |
| Motherboard | Micro-Star International Co., Ltd. B860 GAMING PLUS WIFI (MS-7E41) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265KF |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13103
2.44 KIPS |
|
|
Image Classification (HP)
|
100% |
16184
3.01 KIPS |
|
|
Image Classification (Q)
|
99% |
11842
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16790
272.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20037
324.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
22342
363.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
179554
209.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
532893
621.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
164631
192.8 IPS |
|
|
Object Detection (SP)
|
100% |
12018
953.3 IPS |
|
|
Object Detection (HP)
|
99% |
17938
1.42 KIPS |
|
|
Object Detection (Q)
|
87% |
11148
895.3 IPS |
|
|
Face Detection (SP)
|
100% |
48037
570.8 IPS |
|
|
Face Detection (HP)
|
100% |
57126
678.8 IPS |
|
|
Face Detection (Q)
|
97% |
42429
505.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
68931
531.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
108854
838.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
58764
470.9 IPS |
|
|
Style Transfer (SP)
|
100% |
311858
400.9 IPS |
|
|
Style Transfer (HP)
|
100% |
573879
737.7 IPS |
|
|
Style Transfer (Q)
|
98% |
289355
373.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44316
1.64 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76455
2.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37498
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
4046
5.40 KIPS |
|
|
Text Classification (HP)
|
100% |
4147
5.53 KIPS |
|
|
Text Classification (Q)
|
97% |
2809
3.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
6054
104.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5895
101.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3446
64.6 IPS |
