Micro-Star International Co., Ltd. MS-7D93
Geekbench AI Score
31165
Single Precision Score
34730
Half Precision Score
25193
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Mercury81 |
| Upload Date | December 26 2024 06:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D93 |
| Motherboard | Micro-Star International Co., Ltd. Z790 GAMING PRO WIFI (MS-7D93) |
| Power Plan | Ausbalanciert |
| 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% |
14434
2.68 KIPS |
|
|
Image Classification (HP)
|
100% |
15003
2.79 KIPS |
|
|
Image Classification (Q)
|
99% |
12618
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15264
247.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15279
247.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
14987
243.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
259928
303.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
371459
433.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
212198
248.6 IPS |
|
|
Object Detection (SP)
|
100% |
14835
1.18 KIPS |
|
|
Object Detection (HP)
|
99% |
15775
1.25 KIPS |
|
|
Object Detection (Q)
|
87% |
13022
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
38872
461.9 IPS |
|
|
Face Detection (HP)
|
100% |
39076
464.3 IPS |
|
|
Face Detection (Q)
|
97% |
35288
420.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
75444
581.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
89569
690.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
65602
525.7 IPS |
|
|
Style Transfer (SP)
|
100% |
419887
539.8 IPS |
|
|
Style Transfer (HP)
|
100% |
547011
703.2 IPS |
|
|
Style Transfer (Q)
|
98% |
365102
470.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47185
1.74 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56064
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37822
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
4542
6.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4311
5.75 KIPS |
|
|
Text Classification (Q)
|
97% |
2774
3.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3856
66.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4108
70.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2223
41.7 IPS |
