Micro-Star International Co., Ltd. MS-7D13
Geekbench AI Score
3183
Single Precision Score
1371
Half Precision Score
3036
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Snegovick |
| Upload Date | October 21 2024 03:08 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D13 |
| Motherboard | Micro-Star International Co., Ltd. MEG B550 UNIFY-X (MS-7D13) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1831
340.4 IPS |
|
|
Image Classification (HP)
|
100% |
469
87.3 IPS |
|
|
Image Classification (Q)
|
96% |
2978
556.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1787
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
771
12.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
1742
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5641
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
4608
5.38 IPS |
|
|
Pose Estimation (Q)
|
87% |
10296
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
2162
171.5 IPS |
|
|
Object Detection (HP)
|
100% |
617
48.9 IPS |
|
|
Object Detection (Q)
|
86% |
1834
147.4 IPS |
|
|
Face Detection (SP)
|
100% |
3802
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
1530
18.2 IPS |
|
|
Face Detection (Q)
|
96% |
4143
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6579
50.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2019
15.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
6023
48.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13472
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11457
14.7 IPS |
|
|
Style Transfer (Q)
|
87% |
16865
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2327
85.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1980
73.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2623
97.2 IPS |
|
|
Text Classification (SP)
|
100% |
1520
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
579
773.3 IPS |
|
|
Text Classification (Q)
|
97% |
341
457.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2247
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
564
9.72 IPS |
|
|
Machine Translation (Q)
|
60% |
1806
40.3 IPS |
