Micro-Star International Co., Ltd. MS-7D13
Geekbench AI Score
4500
Single Precision Score
1961
Half Precision Score
4182
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Snegovick |
| Upload Date | October 21 2024 03:34 PM |
| Views | 5 |
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% |
2704
502.9 IPS |
|
|
Image Classification (HP)
|
100% |
677
125.8 IPS |
|
|
Image Classification (Q)
|
96% |
4292
801.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2552
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1118
18.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
2465
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8061
9.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
6544
7.64 IPS |
|
|
Pose Estimation (Q)
|
87% |
14552
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
3099
245.8 IPS |
|
|
Object Detection (HP)
|
100% |
893
70.8 IPS |
|
|
Object Detection (Q)
|
86% |
2635
211.8 IPS |
|
|
Face Detection (SP)
|
100% |
4594
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
2088
24.8 IPS |
|
|
Face Detection (Q)
|
96% |
5354
63.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9454
72.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2867
22.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
7847
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19382
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
16373
21.0 IPS |
|
|
Style Transfer (Q)
|
87% |
21059
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3508
129.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2917
107.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3833
142.0 IPS |
|
|
Text Classification (SP)
|
100% |
2238
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
830
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
482
646.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2992
51.5 IPS |
|
|
Machine Translation (HP)
|
100% |
802
13.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2468
55.0 IPS |
