Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
31736
Single Precision Score
53094
Half Precision Score
24116
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 10:27 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E54 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-S WIFI (MS-7E54) |
| Power Plan | Balanced |
| 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% |
13237
2.46 KIPS |
|
|
Image Classification (HP)
|
100% |
20914
3.89 KIPS |
|
|
Image Classification (Q)
|
100% |
11791
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21312
345.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
28698
465.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
18576
302.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
173406
202.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
632170
737.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
154365
180.8 IPS |
|
|
Object Detection (SP)
|
100% |
16043
1.27 KIPS |
|
|
Object Detection (HP)
|
100% |
25237
2.00 KIPS |
|
|
Object Detection (Q)
|
86% |
14097
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
46058
547.3 IPS |
|
|
Face Detection (HP)
|
100% |
62665
744.6 IPS |
|
|
Face Detection (Q)
|
97% |
38293
456.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
83593
644.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
143296
1.10 KIPS |
|
|
Depth Estimation (Q)
|
78% |
62589
499.8 IPS |
|
|
Style Transfer (SP)
|
100% |
311792
400.8 IPS |
|
|
Style Transfer (HP)
|
100% |
962448
1.24 KIPS |
|
|
Style Transfer (Q)
|
98% |
254171
327.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47597
1.76 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74368
2.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35767
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
3926
5.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4951
6.61 KIPS |
|
|
Text Classification (Q)
|
97% |
2354
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5888
101.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5843
100.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2722
51.1 IPS |
