Micro-Star International Co., Ltd. MS-7D41
Geekbench AI Score
22498
Single Precision Score
24891
Half Precision Score
17074
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | maxime72 |
| Upload Date | May 09 2025 12:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6700 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D41 |
| Motherboard | Micro-Star International Co., Ltd. MAG B660 TOMAHAWK WIFI DDR4 (MS-7D41) |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9781
1.82 KIPS |
|
|
Image Classification (HP)
|
100% |
9249
1.72 KIPS |
|
|
Image Classification (Q)
|
100% |
8524
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15696
254.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
11807
191.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
12468
202.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
118688
138.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
196192
228.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
101963
119.5 IPS |
|
|
Object Detection (SP)
|
100% |
10383
823.6 IPS |
|
|
Object Detection (HP)
|
100% |
8801
698.1 IPS |
|
|
Object Detection (Q)
|
87% |
8740
701.9 IPS |
|
|
Face Detection (SP)
|
100% |
29921
355.5 IPS |
|
|
Face Detection (HP)
|
100% |
33696
400.4 IPS |
|
|
Face Detection (Q)
|
97% |
23364
278.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
51516
396.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
61005
470.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
38118
306.1 IPS |
|
|
Style Transfer (SP)
|
100% |
217910
280.1 IPS |
|
|
Style Transfer (HP)
|
100% |
279541
359.4 IPS |
|
|
Style Transfer (Q)
|
98% |
173673
223.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36889
1.36 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43603
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25770
954.2 IPS |
|
|
Text Classification (SP)
|
100% |
2725
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
3518
4.70 KIPS |
|
|
Text Classification (Q)
|
97% |
1926
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5203
89.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5493
94.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2896
54.3 IPS |
