4000D Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
2058
Single Precision Score
562
Half Precision Score
2032
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | umosmani |
| Upload Date | August 15 2024 09:27 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C95 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550M BAZOOKA (MS-7C95) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1228
228.4 IPS |
|
|
Image Classification (HP)
|
100% |
107
20.0 IPS |
|
|
Image Classification (Q)
|
97% |
1917
357.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
889
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
151
2.44 IPS |
|
|
Image Segmentation (Q)
|
97% |
1363
22.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4352
5.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
3550
4.14 IPS |
|
|
Pose Estimation (Q)
|
87% |
5413
6.39 IPS |
|
|
Object Detection (SP)
|
100% |
1299
103.0 IPS |
|
|
Object Detection (HP)
|
100% |
149
11.9 IPS |
|
|
Object Detection (Q)
|
86% |
1089
87.6 IPS |
|
|
Face Detection (SP)
|
100% |
1869
22.2 IPS |
|
|
Face Detection (HP)
|
100% |
226
2.68 IPS |
|
|
Face Detection (Q)
|
96% |
2682
32.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4521
34.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
703
5.42 IPS |
|
|
Depth Estimation (Q)
|
76% |
4228
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10748
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8327
10.7 IPS |
|
|
Style Transfer (Q)
|
87% |
9502
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1569
57.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1438
53.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1589
58.9 IPS |
|
|
Text Classification (SP)
|
100% |
1127
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
417
556.6 IPS |
|
|
Text Classification (Q)
|
97% |
331
442.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1376
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
465
8.01 IPS |
|
|
Machine Translation (Q)
|
60% |
1380
30.8 IPS |
