Micro-Star International Co., Ltd. Desktop MAG H610 Infinite S3 14
Geekbench AI Score
17069
Single Precision Score
29175
Half Precision Score
13341
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 13 2025 04:54 PM |
| Views | 4 |
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. Desktop MAG H610 Infinite S3 14 |
| Motherboard | Micro-Star International Co., Ltd. PRO H610M-G (MS-7D46) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6936
1.29 KIPS |
|
|
Image Classification (HP)
|
99% |
12299
2.29 KIPS |
|
|
Image Classification (Q)
|
99% |
6191
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11888
192.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16705
270.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10905
177.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
81468
95.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
231996
270.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
72899
85.4 IPS |
|
|
Object Detection (SP)
|
100% |
8348
662.2 IPS |
|
|
Object Detection (HP)
|
100% |
14955
1.19 KIPS |
|
|
Object Detection (Q)
|
84% |
7447
600.6 IPS |
|
|
Face Detection (SP)
|
100% |
20552
244.2 IPS |
|
|
Face Detection (HP)
|
100% |
33575
398.9 IPS |
|
|
Face Detection (Q)
|
97% |
18356
218.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
38877
299.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78041
601.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
32120
257.0 IPS |
|
|
Style Transfer (SP)
|
100% |
132481
170.3 IPS |
|
|
Style Transfer (HP)
|
100% |
342087
439.8 IPS |
|
|
Style Transfer (Q)
|
98% |
120572
155.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27779
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45534
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20307
751.9 IPS |
|
|
Text Classification (SP)
|
100% |
3282
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
3842
5.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1960
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3881
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3998
68.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1723
32.3 IPS |
