Micro-Star International Co., Ltd. MS-7D52
Geekbench AI Score
29700
Single Precision Score
32369
Half Precision Score
22567
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | February 10 2025 10:35 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6950 XT |
| 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 | Balanced |
| 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% |
12774
2.38 KIPS |
|
|
Image Classification (HP)
|
100% |
12506
2.33 KIPS |
|
|
Image Classification (Q)
|
99% |
10362
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18639
302.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15553
252.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
15725
255.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
202055
235.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
309576
361.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
171120
200.5 IPS |
|
|
Object Detection (SP)
|
100% |
12728
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
12823
1.02 KIPS |
|
|
Object Detection (Q)
|
87% |
10715
860.5 IPS |
|
|
Face Detection (SP)
|
100% |
38600
458.7 IPS |
|
|
Face Detection (HP)
|
100% |
41427
492.2 IPS |
|
|
Face Detection (Q)
|
97% |
30869
368.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
73953
569.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
80605
621.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
55733
447.5 IPS |
|
|
Style Transfer (SP)
|
100% |
363601
467.4 IPS |
|
|
Style Transfer (HP)
|
100% |
498759
641.2 IPS |
|
|
Style Transfer (Q)
|
98% |
293137
378.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43094
1.59 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50079
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31279
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3760
5.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3877
5.18 KIPS |
|
|
Text Classification (Q)
|
97% |
2413
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
5186
89.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5058
87.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3013
56.5 IPS |
