Micro-Star International Co., Ltd. MS-7D43
Geekbench AI Score
21664
Single Precision Score
39238
Half Precision Score
16794
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | arca770 |
| Upload Date | May 14 2025 04:46 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| 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% |
8472
1.58 KIPS |
|
|
Image Classification (HP)
|
100% |
16565
3.08 KIPS |
|
|
Image Classification (Q)
|
100% |
7974
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15547
252.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22125
358.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
14259
231.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
118577
138.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
374716
437.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
110639
129.6 IPS |
|
|
Object Detection (SP)
|
100% |
10922
866.4 IPS |
|
|
Object Detection (HP)
|
100% |
18336
1.45 KIPS |
|
|
Object Detection (Q)
|
83% |
9453
763.7 IPS |
|
|
Face Detection (SP)
|
100% |
28262
335.8 IPS |
|
|
Face Detection (HP)
|
100% |
43933
522.0 IPS |
|
|
Face Detection (Q)
|
97% |
24179
288.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
52558
404.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
103689
798.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
42740
341.1 IPS |
|
|
Style Transfer (SP)
|
100% |
170034
218.6 IPS |
|
|
Style Transfer (HP)
|
100% |
567656
729.7 IPS |
|
|
Style Transfer (Q)
|
98% |
149501
192.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31243
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60308
2.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24246
897.8 IPS |
|
|
Text Classification (SP)
|
100% |
3673
4.90 KIPS |
|
|
Text Classification (HP)
|
100% |
4422
5.90 KIPS |
|
|
Text Classification (Q)
|
97% |
2242
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
4607
79.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4982
85.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1787
33.5 IPS |
