Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
34545
Single Precision Score
41600
Half Precision Score
27199
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | lingxue |
| Upload Date | March 25 2025 02:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. Z790 GAMING PLUS WIFI (MS-7E06) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| 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% |
15900
2.96 KIPS |
|
|
Image Classification (HP)
|
100% |
17144
3.19 KIPS |
|
|
Image Classification (Q)
|
99% |
13643
2.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24147
391.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21177
343.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
21441
348.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
247721
289.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
468161
546.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
237969
278.7 IPS |
|
|
Object Detection (SP)
|
100% |
16689
1.32 KIPS |
|
|
Object Detection (HP)
|
99% |
18125
1.44 KIPS |
|
|
Object Detection (Q)
|
87% |
14369
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
47333
562.4 IPS |
|
|
Face Detection (HP)
|
100% |
53657
637.6 IPS |
|
|
Face Detection (Q)
|
97% |
40875
487.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
70119
540.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
89742
691.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
52299
419.1 IPS |
|
|
Style Transfer (SP)
|
100% |
418860
538.5 IPS |
|
|
Style Transfer (HP)
|
100% |
653603
840.2 IPS |
|
|
Style Transfer (Q)
|
98% |
364679
470.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47256
1.74 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65698
2.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37877
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
4574
6.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4637
6.19 KIPS |
|
|
Text Classification (Q)
|
97% |
2890
3.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5075
87.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5255
90.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2596
48.7 IPS |
