Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
7111
Single Precision Score
2709
Half Precision Score
11780
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Decmattern |
| Upload Date | March 24 2026 03:24 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 265KF |
| 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 Core 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5799
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
915
170.2 IPS |
|
|
Image Classification (Q)
|
99% |
10320
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2857
46.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1665
27.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
16553
269.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14785
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
8700
10.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
47022
55.1 IPS |
|
|
Object Detection (SP)
|
100% |
5167
409.9 IPS |
|
|
Object Detection (HP)
|
100% |
1193
94.6 IPS |
|
|
Object Detection (Q)
|
86% |
12268
986.0 IPS |
|
|
Face Detection (SP)
|
100% |
15256
181.3 IPS |
|
|
Face Detection (HP)
|
100% |
2675
31.8 IPS |
|
|
Face Detection (Q)
|
97% |
13807
164.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16786
129.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3745
28.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
26127
208.5 IPS |
|
|
Style Transfer (SP)
|
100% |
33658
43.3 IPS |
|
|
Style Transfer (HP)
|
100% |
21163
27.2 IPS |
|
|
Style Transfer (Q)
|
98% |
27896
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4774
176.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3731
137.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6674
247.1 IPS |
|
|
Text Classification (SP)
|
100% |
1981
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
1087
1.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1647
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3208
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1571
27.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4721
94.9 IPS |
