Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
19945
Single Precision Score
32493
Half Precision Score
15402
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 07:36 PM |
| Views | 1 |
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 | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8592
1.60 KIPS |
|
|
Image Classification (HP)
|
99% |
13035
2.43 KIPS |
|
|
Image Classification (Q)
|
100% |
7609
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13033
211.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16537
268.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11934
194.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
110848
129.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
342731
399.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
97975
114.7 IPS |
|
|
Object Detection (SP)
|
100% |
9816
778.6 IPS |
|
|
Object Detection (HP)
|
100% |
15592
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
8188
655.7 IPS |
|
|
Face Detection (SP)
|
100% |
21514
255.6 IPS |
|
|
Face Detection (HP)
|
100% |
33095
393.2 IPS |
|
|
Face Detection (Q)
|
97% |
17868
213.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
47176
363.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
89685
691.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
37841
304.0 IPS |
|
|
Style Transfer (SP)
|
100% |
197509
253.9 IPS |
|
|
Style Transfer (HP)
|
100% |
473956
609.3 IPS |
|
|
Style Transfer (Q)
|
98% |
177310
228.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33548
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51517
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25306
937.1 IPS |
|
|
Text Classification (SP)
|
100% |
3283
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
3986
5.32 KIPS |
|
|
Text Classification (Q)
|
97% |
2084
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3704
63.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3943
67.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1632
36.4 IPS |
