Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
7108
Single Precision Score
2550
Half Precision Score
11023
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Decmattern |
| Upload Date | March 24 2025 11:26 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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 | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
5524
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
853
158.7 IPS |
|
|
Image Classification (Q)
|
99% |
10393
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2646
42.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1560
25.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4581
74.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14539
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
8229
9.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
49174
57.7 IPS |
|
|
Object Detection (SP)
|
100% |
5286
419.3 IPS |
|
|
Object Detection (HP)
|
100% |
1131
89.7 IPS |
|
|
Object Detection (Q)
|
86% |
12357
993.1 IPS |
|
|
Face Detection (SP)
|
100% |
14458
171.8 IPS |
|
|
Face Detection (HP)
|
100% |
2691
32.0 IPS |
|
|
Face Detection (Q)
|
97% |
14181
169.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16918
130.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3380
26.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
26627
212.5 IPS |
|
|
Style Transfer (SP)
|
100% |
32550
41.8 IPS |
|
|
Style Transfer (HP)
|
100% |
21731
27.9 IPS |
|
|
Style Transfer (Q)
|
98% |
35498
45.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5336
197.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3743
138.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7019
259.9 IPS |
|
|
Text Classification (SP)
|
100% |
2088
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
1021
1.36 KIPS |
|
|
Text Classification (Q)
|
97% |
1861
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3305
56.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1247
21.5 IPS |
|
|
Machine Translation (Q)
|
65% |
5230
105.1 IPS |
