Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
20371
Single Precision Score
32684
Half Precision Score
15732
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 03:25 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. B550-A PRO (MS-7C56) |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8608
1.60 KIPS |
|
|
Image Classification (HP)
|
99% |
12948
2.42 KIPS |
|
|
Image Classification (Q)
|
100% |
7575
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13755
223.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16313
264.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
12560
204.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
115974
135.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
346531
404.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
102550
120.1 IPS |
|
|
Object Detection (SP)
|
100% |
10063
798.2 IPS |
|
|
Object Detection (HP)
|
100% |
16120
1.28 KIPS |
|
|
Object Detection (Q)
|
89% |
8862
709.7 IPS |
|
|
Face Detection (SP)
|
100% |
22436
266.6 IPS |
|
|
Face Detection (HP)
|
100% |
34660
411.8 IPS |
|
|
Face Detection (Q)
|
97% |
18453
220.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
47591
366.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
89728
691.3 IPS |
|
|
Depth Estimation (Q)
|
72% |
37583
310.6 IPS |
|
|
Style Transfer (SP)
|
100% |
205129
263.7 IPS |
|
|
Style Transfer (HP)
|
100% |
477614
614.0 IPS |
|
|
Style Transfer (Q)
|
98% |
183848
237.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33769
1.25 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50851
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25144
931.1 IPS |
|
|
Text Classification (SP)
|
100% |
3181
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
3904
5.21 KIPS |
|
|
Text Classification (Q)
|
97% |
2025
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3787
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3999
68.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1655
36.9 IPS |
