Micro-Star International Co., Ltd. MS-7D52
Geekbench AI Score
3120
Single Precision Score
825
Half Precision Score
4171
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | September 14 2024 01:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D52 |
| Motherboard | Micro-Star International Co., Ltd. MPG X570S CARBON MAX WIFI (MS-7D52) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1678
312.1 IPS |
|
|
Image Classification (HP)
|
100% |
150
27.8 IPS |
|
|
Image Classification (Q)
|
97% |
3469
647.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1711
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
248
4.02 IPS |
|
|
Image Segmentation (Q)
|
97% |
3056
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9315
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
6337
7.39 IPS |
|
|
Pose Estimation (Q)
|
87% |
17356
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
1675
132.9 IPS |
|
|
Object Detection (HP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (Q)
|
86% |
1895
152.3 IPS |
|
|
Face Detection (SP)
|
100% |
3256
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
311
3.69 IPS |
|
|
Face Detection (Q)
|
96% |
3881
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5829
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
775
5.97 IPS |
|
|
Depth Estimation (Q)
|
76% |
6319
50.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13340
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17310
22.3 IPS |
|
|
Style Transfer (Q)
|
87% |
20444
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2395
88.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1967
72.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3066
113.6 IPS |
|
|
Text Classification (SP)
|
100% |
1476
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
588
784.4 IPS |
|
|
Text Classification (Q)
|
97% |
1265
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2187
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
613
10.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2355
52.5 IPS |
