Micro-Star International Co., Ltd. MS-7C36
Geekbench AI Score
3324
Single Precision Score
3337
Half Precision Score
4728
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | sampatel |
| Upload Date | December 03 2024 05:50 AM |
| Views | 20 |
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-7C36 |
| Motherboard | Micro-Star International Co., Ltd. PRESTIGE X570 CREATION (MS-7C36) |
| Power Plan | AMD Ryzen Balanced |
| 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% |
2367
440.2 IPS |
|
|
Image Classification (HP)
|
100% |
2359
438.7 IPS |
|
|
Image Classification (Q)
|
100% |
3200
595.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1311
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1231
19.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3701
60.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6506
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
6461
7.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
10060
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
2485
197.1 IPS |
|
|
Object Detection (HP)
|
100% |
2627
208.4 IPS |
|
|
Object Detection (Q)
|
87% |
3749
300.7 IPS |
|
|
Face Detection (SP)
|
100% |
5988
71.2 IPS |
|
|
Face Detection (HP)
|
100% |
5616
66.7 IPS |
|
|
Face Detection (Q)
|
97% |
11828
141.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6179
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6871
52.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
10123
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18377
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
18152
23.3 IPS |
|
|
Style Transfer (Q)
|
98% |
27475
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3659
135.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3689
136.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5348
198.1 IPS |
|
|
Text Classification (SP)
|
100% |
600
801.3 IPS |
|
|
Text Classification (HP)
|
100% |
612
816.2 IPS |
|
|
Text Classification (Q)
|
91% |
325
437.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2199
37.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2198
37.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2187
37.7 IPS |
