Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
22856
Single Precision Score
42553
Half Precision Score
17534
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Krypton1969 |
| Upload Date | July 06 2025 04:14 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E34 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-P WIFI (MS-7E34) |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265KF |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9169
1.71 KIPS |
|
|
Image Classification (HP)
|
100% |
16421
3.05 KIPS |
|
|
Image Classification (Q)
|
100% |
8453
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17847
289.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
27375
443.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16081
261.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
119851
139.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
382156
445.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
111735
130.9 IPS |
|
|
Object Detection (SP)
|
100% |
11628
922.3 IPS |
|
|
Object Detection (HP)
|
100% |
21117
1.68 KIPS |
|
|
Object Detection (Q)
|
83% |
9756
788.2 IPS |
|
|
Face Detection (SP)
|
100% |
30639
364.1 IPS |
|
|
Face Detection (HP)
|
100% |
49780
591.5 IPS |
|
|
Face Detection (Q)
|
97% |
26313
313.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
53448
411.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
109319
842.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
42946
342.8 IPS |
|
|
Style Transfer (SP)
|
100% |
167314
215.1 IPS |
|
|
Style Transfer (HP)
|
100% |
582390
748.7 IPS |
|
|
Style Transfer (Q)
|
98% |
146092
188.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32084
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61838
2.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24509
907.5 IPS |
|
|
Text Classification (SP)
|
100% |
3535
4.72 KIPS |
|
|
Text Classification (HP)
|
100% |
4496
6.00 KIPS |
|
|
Text Classification (Q)
|
97% |
2240
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5492
94.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6091
104.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2046
38.4 IPS |
