Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
16883
Single Precision Score
27659
Half Precision Score
12371
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | itidal |
| Upload Date | July 07 2025 08:22 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E54 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-S WIFI (MS-7E54) |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245KF |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.19 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7126
1.33 KIPS |
|
|
Image Classification (HP)
|
99% |
12323
2.30 KIPS |
|
|
Image Classification (Q)
|
99% |
6298
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12716
206.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
17920
290.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9855
160.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
84844
99.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
212169
247.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
76105
89.2 IPS |
|
|
Object Detection (SP)
|
100% |
8756
694.5 IPS |
|
|
Object Detection (HP)
|
100% |
13476
1.07 KIPS |
|
|
Object Detection (Q)
|
84% |
7273
586.6 IPS |
|
|
Face Detection (SP)
|
100% |
17872
212.4 IPS |
|
|
Face Detection (HP)
|
100% |
28725
341.3 IPS |
|
|
Face Detection (Q)
|
97% |
13886
165.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
41149
317.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
76449
589.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
32019
256.1 IPS |
|
|
Style Transfer (SP)
|
100% |
149418
192.1 IPS |
|
|
Style Transfer (HP)
|
100% |
366750
471.5 IPS |
|
|
Style Transfer (Q)
|
98% |
130977
168.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29652
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45626
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19897
736.8 IPS |
|
|
Text Classification (SP)
|
100% |
2986
3.98 KIPS |
|
|
Text Classification (HP)
|
99% |
3563
4.76 KIPS |
|
|
Text Classification (Q)
|
97% |
1719
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2874
49.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3170
54.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1227
23.0 IPS |
