Micro-Star International Co., Ltd. MS-7D52
Geekbench AI Score
29700
Single Precision Score
32527
Half Precision Score
22623
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | February 10 2025 09:57 AM |
| Views | 14 |
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% |
12854
2.39 KIPS |
|
|
Image Classification (HP)
|
100% |
12707
2.36 KIPS |
|
|
Image Classification (Q)
|
99% |
10425
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18190
294.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15605
253.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15754
256.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
202111
235.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
308848
360.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
170385
199.6 IPS |
|
|
Object Detection (SP)
|
100% |
12695
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
12899
1.02 KIPS |
|
|
Object Detection (Q)
|
87% |
10730
861.8 IPS |
|
|
Face Detection (SP)
|
100% |
38556
458.1 IPS |
|
|
Face Detection (HP)
|
100% |
41361
491.5 IPS |
|
|
Face Detection (Q)
|
97% |
30865
368.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
74506
574.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
80754
622.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
55959
449.4 IPS |
|
|
Style Transfer (SP)
|
100% |
362359
465.8 IPS |
|
|
Style Transfer (HP)
|
100% |
498458
640.8 IPS |
|
|
Style Transfer (Q)
|
98% |
296260
382.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43245
1.60 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50745
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31292
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3821
5.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3909
5.22 KIPS |
|
|
Text Classification (Q)
|
97% |
2418
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
5176
89.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5082
87.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3021
56.7 IPS |
