Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
29721
Single Precision Score
51246
Half Precision Score
22114
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Lyth03 |
| Upload Date | August 24 2025 02:32 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E54 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-S WIFI (MS-7E54) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11006
2.05 KIPS |
|
|
Image Classification (HP)
|
100% |
15916
2.96 KIPS |
|
|
Image Classification (Q)
|
100% |
10686
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24449
396.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
35879
581.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
21593
351.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
157132
183.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
598624
698.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
136414
159.8 IPS |
|
|
Object Detection (SP)
|
100% |
15207
1.21 KIPS |
|
|
Object Detection (HP)
|
100% |
24619
1.95 KIPS |
|
|
Object Detection (Q)
|
86% |
13132
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
45445
540.0 IPS |
|
|
Face Detection (HP)
|
100% |
68908
818.8 IPS |
|
|
Face Detection (Q)
|
97% |
34804
415.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
76821
591.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
132987
1.02 KIPS |
|
|
Depth Estimation (Q)
|
78% |
58912
470.4 IPS |
|
|
Style Transfer (SP)
|
100% |
295076
379.3 IPS |
|
|
Style Transfer (HP)
|
100% |
953950
1.23 KIPS |
|
|
Style Transfer (Q)
|
98% |
248561
320.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45304
1.67 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67740
2.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32608
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3220
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4621
6.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1902
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5566
95.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5424
93.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2141
40.2 IPS |
