Micro-Star International Co., Ltd. MS-7D75
Geekbench AI Score
3218
Single Precision Score
1616
Half Precision Score
4875
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 24 2024 09:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Famille (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D75 |
| Motherboard | Micro-Star International Co., Ltd. MAG B650 TOMAHAWK WIFI (MS-7D75) |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1580
293.9 IPS |
|
|
Image Classification (HP)
|
100% |
600
111.5 IPS |
|
|
Image Classification (Q)
|
99% |
5120
954.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1712
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
969
15.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2402
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4895
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4158
4.85 IPS |
|
|
Pose Estimation (Q)
|
95% |
21454
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
1898
150.5 IPS |
|
|
Object Detection (HP)
|
100% |
743
58.9 IPS |
|
|
Object Detection (Q)
|
88% |
2312
185.3 IPS |
|
|
Face Detection (SP)
|
100% |
4214
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
1910
22.7 IPS |
|
|
Face Detection (Q)
|
97% |
5874
70.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6464
49.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2365
18.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
10571
84.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12377
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10792
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
28770
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2546
94.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2101
77.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4323
160.1 IPS |
|
|
Text Classification (SP)
|
100% |
2115
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
857
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
519
694.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2611
45.0 IPS |
|
|
Machine Translation (HP)
|
100% |
775
13.4 IPS |
|
|
Machine Translation (Q)
|
60% |
3106
69.3 IPS |
