Micro-Star International Co., Ltd. MS-7D46
Geekbench AI Score
14149
Single Precision Score
16717
Half Precision Score
11136
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | hunt_young1 |
| Upload Date | June 29 2025 05:35 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 5700 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D46 |
| Motherboard | Micro-Star International Co., Ltd. PRO H610M-G WIFI DDR4 (MS-7D46) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600KF |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5939
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
6479
1.20 KIPS |
|
|
Image Classification (Q)
|
100% |
5226
971.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7356
119.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7823
126.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6670
108.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
82331
96.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
124155
144.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
69922
81.9 IPS |
|
|
Object Detection (SP)
|
100% |
6314
500.9 IPS |
|
|
Object Detection (HP)
|
100% |
6344
503.2 IPS |
|
|
Object Detection (Q)
|
88% |
5470
438.5 IPS |
|
|
Face Detection (SP)
|
100% |
18263
217.0 IPS |
|
|
Face Detection (HP)
|
100% |
20536
244.0 IPS |
|
|
Face Detection (Q)
|
97% |
15712
187.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
35184
271.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
40426
312.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
28587
228.6 IPS |
|
|
Style Transfer (SP)
|
100% |
142810
183.6 IPS |
|
|
Style Transfer (HP)
|
100% |
210938
271.2 IPS |
|
|
Style Transfer (Q)
|
98% |
114159
147.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24247
895.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28998
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17439
645.7 IPS |
|
|
Text Classification (SP)
|
100% |
1673
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2089
2.79 KIPS |
|
|
Text Classification (Q)
|
97% |
1201
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3806
65.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4026
69.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2050
38.5 IPS |
