Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
25402
Single Precision Score
28810
Half Precision Score
19284
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Fraxxed16 |
| Upload Date | August 29 2024 10:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7800 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D25 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-A DDR4(MS-7D25) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10731
2.00 KIPS |
|
|
Image Classification (HP)
|
100% |
11676
2.17 KIPS |
|
|
Image Classification (Q)
|
100% |
9267
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16470
267.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14216
230.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
14584
237.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
178470
208.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
254168
296.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
158253
185.4 IPS |
|
|
Object Detection (SP)
|
100% |
11253
892.6 IPS |
|
|
Object Detection (HP)
|
99% |
11951
948.0 IPS |
|
|
Object Detection (Q)
|
89% |
8875
710.7 IPS |
|
|
Face Detection (SP)
|
100% |
33447
397.4 IPS |
|
|
Face Detection (HP)
|
100% |
35436
421.1 IPS |
|
|
Face Detection (Q)
|
97% |
27629
329.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
59551
458.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
64276
495.2 IPS |
|
|
Depth Estimation (Q)
|
73% |
43536
356.8 IPS |
|
|
Style Transfer (SP)
|
100% |
321260
413.0 IPS |
|
|
Style Transfer (HP)
|
100% |
459618
590.8 IPS |
|
|
Style Transfer (Q)
|
98% |
284194
366.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33636
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47437
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23912
885.4 IPS |
|
|
Text Classification (SP)
|
100% |
3545
4.73 KIPS |
|
|
Text Classification (HP)
|
100% |
3777
5.04 KIPS |
|
|
Text Classification (Q)
|
97% |
2379
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4131
71.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4166
71.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1927
43.0 IPS |
