Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
30912
Single Precision Score
52813
Half Precision Score
23672
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 13 2025 01:13 PM |
| Views | 4 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12332
2.29 KIPS |
|
|
Image Classification (HP)
|
100% |
19324
3.59 KIPS |
|
|
Image Classification (Q)
|
100% |
11150
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22007
356.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
30568
495.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19901
323.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
172181
200.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
651310
760.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
154112
180.5 IPS |
|
|
Object Detection (SP)
|
100% |
15775
1.25 KIPS |
|
|
Object Detection (HP)
|
100% |
24054
1.91 KIPS |
|
|
Object Detection (Q)
|
86% |
12826
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
44042
523.3 IPS |
|
|
Face Detection (HP)
|
100% |
62466
742.2 IPS |
|
|
Face Detection (Q)
|
97% |
37329
445.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
81602
628.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
145292
1.12 KIPS |
|
|
Depth Estimation (Q)
|
78% |
62516
499.2 IPS |
|
|
Style Transfer (SP)
|
100% |
304184
391.0 IPS |
|
|
Style Transfer (HP)
|
100% |
955744
1.23 KIPS |
|
|
Style Transfer (Q)
|
98% |
253037
326.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44091
1.63 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71958
2.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34611
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
3760
5.02 KIPS |
|
|
Text Classification (HP)
|
100% |
4921
6.57 KIPS |
|
|
Text Classification (Q)
|
97% |
2203
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5964
102.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5939
102.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2799
52.5 IPS |
