Micro-Star International Co., Ltd. MS-7A39
Geekbench AI Score
2497
Single Precision Score
1056
Half Precision Score
2955
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | paz_levi |
| Upload Date | December 30 2024 03:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7A39 |
| Motherboard | MSI B350M GAMING PRO (MS-7A39) |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2099
390.3 IPS |
|
|
Image Classification (HP)
|
100% |
386
71.8 IPS |
|
|
Image Classification (Q)
|
96% |
2726
509.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
833
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
450
7.29 IPS |
|
|
Image Segmentation (Q)
|
97% |
1719
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5568
6.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
4011
4.68 IPS |
|
|
Pose Estimation (Q)
|
86% |
6017
7.11 IPS |
|
|
Object Detection (SP)
|
100% |
1929
153.0 IPS |
|
|
Object Detection (HP)
|
100% |
491
39.0 IPS |
|
|
Object Detection (Q)
|
58% |
1946
212.7 IPS |
|
|
Face Detection (SP)
|
100% |
3249
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
1071
12.7 IPS |
|
|
Face Detection (Q)
|
96% |
5394
64.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6060
46.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1630
12.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
6305
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11302
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9415
12.1 IPS |
|
|
Style Transfer (Q)
|
87% |
10369
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1622
59.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1396
51.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1650
61.1 IPS |
|
|
Text Classification (SP)
|
100% |
1044
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
451
601.9 IPS |
|
|
Text Classification (Q)
|
97% |
891
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1333
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
490
8.44 IPS |
|
|
Machine Translation (Q)
|
68% |
1789
34.6 IPS |
