Micro-Star International Co., Ltd. MS-7C35
Geekbench AI Score
2972
Single Precision Score
3004
Half Precision Score
4413
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 04:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C35 |
| Motherboard | Micro-Star International Co., Ltd. MEG X570 ACE (MS-7C35) |
| Power Plan | Advanced SystemCare Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2004
372.6 IPS |
|
|
Image Classification (HP)
|
100% |
1962
365.0 IPS |
|
|
Image Classification (Q)
|
100% |
3102
576.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1169
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1333
21.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3538
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6198
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
6134
7.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
9670
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
2083
165.2 IPS |
|
|
Object Detection (HP)
|
100% |
2032
161.2 IPS |
|
|
Object Detection (Q)
|
87% |
3436
275.6 IPS |
|
|
Face Detection (SP)
|
100% |
5260
62.5 IPS |
|
|
Face Detection (HP)
|
100% |
5270
62.6 IPS |
|
|
Face Detection (Q)
|
97% |
10911
130.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6175
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6118
47.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
9314
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16699
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17072
21.9 IPS |
|
|
Style Transfer (Q)
|
98% |
26779
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3222
119.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3384
124.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4951
183.4 IPS |
|
|
Text Classification (SP)
|
100% |
535
713.9 IPS |
|
|
Text Classification (HP)
|
100% |
526
702.3 IPS |
|
|
Text Classification (Q)
|
91% |
297
398.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1903
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1874
32.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1922
33.1 IPS |
