Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
22886
Single Precision Score
42888
Half Precision Score
17555
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Krypton1969 |
| Upload Date | July 06 2025 04:21 PM |
| Views | 9 |
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% |
9212
1.71 KIPS |
|
|
Image Classification (HP)
|
100% |
16796
3.12 KIPS |
|
|
Image Classification (Q)
|
100% |
8427
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17784
288.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
27391
444.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
16034
260.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
119923
139.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
382610
446.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
112088
131.3 IPS |
|
|
Object Detection (SP)
|
100% |
11498
912.1 IPS |
|
|
Object Detection (HP)
|
100% |
20603
1.63 KIPS |
|
|
Object Detection (Q)
|
83% |
9815
793.0 IPS |
|
|
Face Detection (SP)
|
100% |
30841
366.5 IPS |
|
|
Face Detection (HP)
|
100% |
50077
595.0 IPS |
|
|
Face Detection (Q)
|
97% |
26505
316.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
52815
406.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
109916
846.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
43137
344.3 IPS |
|
|
Style Transfer (SP)
|
100% |
168971
217.2 IPS |
|
|
Style Transfer (HP)
|
100% |
573481
737.2 IPS |
|
|
Style Transfer (Q)
|
98% |
146105
188.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32620
1.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64854
2.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24549
909.0 IPS |
|
|
Text Classification (SP)
|
100% |
3605
4.81 KIPS |
|
|
Text Classification (HP)
|
100% |
4596
6.13 KIPS |
|
|
Text Classification (Q)
|
97% |
2221
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5393
92.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6171
106.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2054
38.5 IPS |
