Micro-Star International Co., Ltd. MS-7D46
Geekbench AI Score
17941
Single Precision Score
31354
Half Precision Score
14057
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 04 2025 01:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D46 |
| Motherboard | Micro-Star International Co., Ltd. PRO H610M-G WIFI (MS-7D46) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7161
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
14195
2.64 KIPS |
|
|
Image Classification (Q)
|
99% |
6570
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11251
182.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15495
251.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
10463
170.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
95314
111.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
283044
330.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
80931
94.8 IPS |
|
|
Object Detection (SP)
|
100% |
9572
759.2 IPS |
|
|
Object Detection (HP)
|
100% |
14630
1.16 KIPS |
|
|
Object Detection (Q)
|
83% |
8333
673.3 IPS |
|
|
Face Detection (SP)
|
100% |
22554
268.0 IPS |
|
|
Face Detection (HP)
|
100% |
33628
399.6 IPS |
|
|
Face Detection (Q)
|
97% |
19969
238.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
45772
352.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
91300
703.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
36707
293.5 IPS |
|
|
Style Transfer (SP)
|
100% |
147944
190.2 IPS |
|
|
Style Transfer (HP)
|
100% |
468687
602.5 IPS |
|
|
Style Transfer (Q)
|
98% |
125665
162.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26273
970.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47438
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20422
756.2 IPS |
|
|
Text Classification (SP)
|
100% |
3341
4.46 KIPS |
|
|
Text Classification (HP)
|
100% |
4115
5.49 KIPS |
|
|
Text Classification (Q)
|
97% |
2053
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3507
60.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3589
61.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1683
31.6 IPS |
