Micro-Star International Co., Ltd. MS-7D43
Geekbench AI Score
27554
Single Precision Score
48182
Half Precision Score
21557
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | arca770 |
| Upload Date | May 21 2025 10:51 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D43 |
| Motherboard | Micro-Star International Co., Ltd. PRO B660M-A DDR4 (MS-7D43) |
| Power Plan | Balanced |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10068
1.87 KIPS |
|
|
Image Classification (HP)
|
100% |
18912
3.52 KIPS |
|
|
Image Classification (Q)
|
100% |
9019
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21004
340.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
30715
497.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
19000
309.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
165737
193.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
456841
533.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
143906
168.6 IPS |
|
|
Object Detection (SP)
|
100% |
13670
1.08 KIPS |
|
|
Object Detection (HP)
|
100% |
22888
1.82 KIPS |
|
|
Object Detection (Q)
|
83% |
12029
971.9 IPS |
|
|
Face Detection (SP)
|
100% |
38504
457.5 IPS |
|
|
Face Detection (HP)
|
100% |
54415
646.6 IPS |
|
|
Face Detection (Q)
|
97% |
33047
394.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
67689
521.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
122023
940.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
52716
420.8 IPS |
|
|
Style Transfer (SP)
|
100% |
233312
299.9 IPS |
|
|
Style Transfer (HP)
|
100% |
752888
967.8 IPS |
|
|
Style Transfer (Q)
|
98% |
198251
255.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37665
1.39 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75341
2.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30599
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3813
5.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4790
6.39 KIPS |
|
|
Text Classification (Q)
|
97% |
2413
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
6030
103.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6154
106.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2866
53.8 IPS |
