Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
12996
Single Precision Score
20365
Half Precision Score
10302
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | jacofaco |
| Upload Date | October 15 2024 08:21 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C95 |
| Motherboard | Micro-Star International Co., Ltd. B550M PRO-VDH WIFI (MS-7C95) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5344
993.8 IPS |
|
|
Image Classification (HP)
|
99% |
8578
1.60 KIPS |
|
|
Image Classification (Q)
|
100% |
4765
886.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7833
127.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9471
153.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7358
119.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
76166
88.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
194337
226.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
67319
78.8 IPS |
|
|
Object Detection (SP)
|
100% |
6290
498.9 IPS |
|
|
Object Detection (HP)
|
100% |
9550
757.5 IPS |
|
|
Object Detection (Q)
|
89% |
5392
431.6 IPS |
|
|
Face Detection (SP)
|
100% |
13736
163.2 IPS |
|
|
Face Detection (HP)
|
100% |
19404
230.6 IPS |
|
|
Face Detection (Q)
|
97% |
11460
136.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
32574
251.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
63456
488.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
26680
214.3 IPS |
|
|
Style Transfer (SP)
|
100% |
120975
155.5 IPS |
|
|
Style Transfer (HP)
|
100% |
289268
371.9 IPS |
|
|
Style Transfer (Q)
|
98% |
109498
141.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23306
860.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35915
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17490
647.6 IPS |
|
|
Text Classification (SP)
|
100% |
2406
3.21 KIPS |
|
|
Text Classification (HP)
|
99% |
2769
3.70 KIPS |
|
|
Text Classification (Q)
|
97% |
1616
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2259
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2298
39.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1119
25.0 IPS |
