Micro-Star International Co., Ltd. MS-7D52
Geekbench AI Score
28862
Single Precision Score
31691
Half Precision Score
21289
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | September 09 2024 05:54 AM |
| Views | 21 |
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 | 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12173
2.26 KIPS |
|
|
Image Classification (HP)
|
100% |
11985
2.23 KIPS |
|
|
Image Classification (Q)
|
100% |
9483
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18627
302.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15482
251.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15634
254.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
198563
231.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
301372
351.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
165421
193.8 IPS |
|
|
Object Detection (SP)
|
100% |
12175
965.7 IPS |
|
|
Object Detection (HP)
|
100% |
12407
984.1 IPS |
|
|
Object Detection (Q)
|
89% |
10156
813.3 IPS |
|
|
Face Detection (SP)
|
100% |
34844
414.0 IPS |
|
|
Face Detection (HP)
|
100% |
37279
443.0 IPS |
|
|
Face Detection (Q)
|
97% |
26474
315.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
70147
540.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
77084
593.9 IPS |
|
|
Depth Estimation (Q)
|
73% |
50695
413.9 IPS |
|
|
Style Transfer (SP)
|
100% |
352677
453.4 IPS |
|
|
Style Transfer (HP)
|
100% |
491092
631.3 IPS |
|
|
Style Transfer (Q)
|
98% |
282280
364.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42655
1.58 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49688
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31267
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3927
5.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4051
5.41 KIPS |
|
|
Text Classification (Q)
|
97% |
2565
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5069
87.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5185
89.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2527
56.4 IPS |
