Micro-Star International Co., Ltd. MS-7C36
Geekbench AI Score
2168
Single Precision Score
1058
Half Precision Score
2347
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | sampatel |
| Upload Date | December 01 2024 11:59 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X |
| 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% |
1135
211.0 IPS |
|
|
Image Classification (HP)
|
100% |
359
66.8 IPS |
|
|
Image Classification (Q)
|
96% |
2042
381.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
968
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
527
8.54 IPS |
|
|
Image Segmentation (Q)
|
97% |
1603
26.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5266
6.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
4072
4.75 IPS |
|
|
Pose Estimation (Q)
|
87% |
7645
9.03 IPS |
|
|
Object Detection (SP)
|
100% |
1365
108.2 IPS |
|
|
Object Detection (HP)
|
100% |
475
37.7 IPS |
|
|
Object Detection (Q)
|
86% |
1159
93.2 IPS |
|
|
Face Detection (SP)
|
100% |
2387
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
1095
13.0 IPS |
|
|
Face Detection (Q)
|
96% |
3092
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4997
38.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1666
12.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
4837
38.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11822
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9743
12.5 IPS |
|
|
Style Transfer (Q)
|
87% |
13418
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1520
56.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1395
51.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1741
64.5 IPS |
|
|
Text Classification (SP)
|
100% |
927
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
412
549.8 IPS |
|
|
Text Classification (Q)
|
97% |
334
447.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1466
25.2 IPS |
|
|
Machine Translation (HP)
|
100% |
474
8.16 IPS |
|
|
Machine Translation (Q)
|
60% |
1504
33.5 IPS |
