Micro-Star International Co., Ltd. MS-7D52
Geekbench AI Score
28845
Single Precision Score
32170
Half Precision Score
22422
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | February 10 2025 11:29 AM |
| Views | 15 |
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% |
12657
2.35 KIPS |
|
|
Image Classification (HP)
|
100% |
12351
2.30 KIPS |
|
|
Image Classification (Q)
|
99% |
10277
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14982
242.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15438
250.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
15540
252.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
203189
237.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
306603
357.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
170975
200.3 IPS |
|
|
Object Detection (SP)
|
100% |
12568
996.9 IPS |
|
|
Object Detection (HP)
|
100% |
12777
1.01 KIPS |
|
|
Object Detection (Q)
|
87% |
10668
856.8 IPS |
|
|
Face Detection (SP)
|
100% |
37918
450.5 IPS |
|
|
Face Detection (HP)
|
100% |
40825
485.1 IPS |
|
|
Face Detection (Q)
|
97% |
31009
369.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
73968
569.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
80656
621.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
54855
440.5 IPS |
|
|
Style Transfer (SP)
|
100% |
357456
459.5 IPS |
|
|
Style Transfer (HP)
|
100% |
498797
641.2 IPS |
|
|
Style Transfer (Q)
|
98% |
290628
374.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42654
1.58 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50306
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31063
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3741
4.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3822
5.10 KIPS |
|
|
Text Classification (Q)
|
97% |
2384
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
5149
88.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5033
86.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3012
56.5 IPS |
