Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
7071
Single Precision Score
2528
Half Precision Score
10338
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 10:24 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| 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% |
5633
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
830
154.4 IPS |
|
|
Image Classification (Q)
|
99% |
8821
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2825
45.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1552
25.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4381
71.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14534
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
8583
10.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
47696
55.9 IPS |
|
|
Object Detection (SP)
|
100% |
5062
401.5 IPS |
|
|
Object Detection (HP)
|
100% |
1114
88.4 IPS |
|
|
Object Detection (Q)
|
86% |
11317
909.5 IPS |
|
|
Face Detection (SP)
|
100% |
14175
168.4 IPS |
|
|
Face Detection (HP)
|
100% |
2622
31.2 IPS |
|
|
Face Detection (Q)
|
97% |
13330
158.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17184
132.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3557
27.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
25695
205.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32957
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21323
27.4 IPS |
|
|
Style Transfer (Q)
|
98% |
32366
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5383
198.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3818
141.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6989
258.8 IPS |
|
|
Text Classification (SP)
|
100% |
2063
2.75 KIPS |
|
|
Text Classification (HP)
|
100% |
1023
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1917
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2996
51.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1118
19.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4501
90.5 IPS |
