Micro-Star International Co., Ltd. MS-7D48
Geekbench AI Score
16023
Single Precision Score
25951
Half Precision Score
12755
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 29 2025 01:12 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D48 |
| Motherboard | Micro-Star International Co., Ltd. PRO H610M-E (MS-7D48) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6397
1.19 KIPS |
|
|
Image Classification (HP)
|
99% |
11064
2.06 KIPS |
|
|
Image Classification (Q)
|
99% |
5708
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10017
162.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13002
210.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9319
151.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
83022
96.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
228646
266.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
73678
86.3 IPS |
|
|
Object Detection (SP)
|
100% |
8186
649.3 IPS |
|
|
Object Detection (HP)
|
100% |
13358
1.06 KIPS |
|
|
Object Detection (Q)
|
84% |
7333
591.5 IPS |
|
|
Face Detection (SP)
|
100% |
18700
222.2 IPS |
|
|
Face Detection (HP)
|
100% |
28786
342.0 IPS |
|
|
Face Detection (Q)
|
97% |
16127
192.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
39969
307.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
71818
553.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
33402
267.2 IPS |
|
|
Style Transfer (SP)
|
100% |
130612
167.9 IPS |
|
|
Style Transfer (HP)
|
100% |
311009
399.8 IPS |
|
|
Style Transfer (Q)
|
98% |
117810
151.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26976
996.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41841
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19871
735.8 IPS |
|
|
Text Classification (SP)
|
100% |
3109
4.15 KIPS |
|
|
Text Classification (HP)
|
99% |
3564
4.76 KIPS |
|
|
Text Classification (Q)
|
97% |
1920
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3129
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3289
56.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1639
30.7 IPS |
