Micro-Star International Co., Ltd. MS-7E41
Geekbench AI Score
32920
Single Precision Score
56241
Half Precision Score
24730
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 04:33 AM |
| Views | 2 |
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-7E41 |
| Motherboard | Micro-Star International Co., Ltd. B860 GAMING PLUS WIFI (MS-7E41) |
| Power Plan | pikov vkon |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| 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% |
12987
2.42 KIPS |
|
|
Image Classification (HP)
|
100% |
20707
3.85 KIPS |
|
|
Image Classification (Q)
|
100% |
11398
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25104
407.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
36787
596.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
22094
359.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
173932
203.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
652441
761.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
156265
183.0 IPS |
|
|
Object Detection (SP)
|
100% |
16677
1.32 KIPS |
|
|
Object Detection (HP)
|
100% |
27039
2.14 KIPS |
|
|
Object Detection (Q)
|
86% |
13788
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
50013
594.3 IPS |
|
|
Face Detection (HP)
|
100% |
69652
827.6 IPS |
|
|
Face Detection (Q)
|
97% |
40660
484.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
82203
633.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
136488
1.05 KIPS |
|
|
Depth Estimation (Q)
|
78% |
61747
493.1 IPS |
|
|
Style Transfer (SP)
|
100% |
314248
404.0 IPS |
|
|
Style Transfer (HP)
|
100% |
987206
1.27 KIPS |
|
|
Style Transfer (Q)
|
98% |
261752
337.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45852
1.69 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74754
2.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35246
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
3899
5.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4871
6.50 KIPS |
|
|
Text Classification (Q)
|
97% |
2249
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
6845
117.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6895
118.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3028
56.8 IPS |
