Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
6734
Single Precision Score
2569
Half Precision Score
11198
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 13 2025 01:11 PM |
| Views | 3 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5866
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
737
137.1 IPS |
|
|
Image Classification (Q)
|
99% |
9934
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2491
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1692
27.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
14690
238.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14486
16.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
8190
9.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
46446
54.5 IPS |
|
|
Object Detection (SP)
|
100% |
4803
381.0 IPS |
|
|
Object Detection (HP)
|
100% |
1200
95.2 IPS |
|
|
Object Detection (Q)
|
86% |
12302
988.7 IPS |
|
|
Face Detection (SP)
|
100% |
12549
149.1 IPS |
|
|
Face Detection (HP)
|
100% |
2578
30.6 IPS |
|
|
Face Detection (Q)
|
97% |
13509
161.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
14699
113.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3375
26.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
23465
187.2 IPS |
|
|
Style Transfer (SP)
|
100% |
31721
40.8 IPS |
|
|
Style Transfer (HP)
|
100% |
21339
27.4 IPS |
|
|
Style Transfer (Q)
|
98% |
21684
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5202
192.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3439
127.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7277
269.5 IPS |
|
|
Text Classification (SP)
|
100% |
2031
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
1074
1.43 KIPS |
|
|
Text Classification (Q)
|
97% |
1608
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3055
52.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1495
25.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4625
92.9 IPS |
