Micro-Star International Co., Ltd. MS-7D48
Geekbench AI Score
17486
Single Precision Score
30799
Half Precision Score
13738
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 14 2025 08:15 AM |
| Views | 7 |
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-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 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7025
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
13463
2.50 KIPS |
|
|
Image Classification (Q)
|
99% |
6294
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11105
180.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15382
249.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10302
167.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
92652
108.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
278114
324.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
79867
93.6 IPS |
|
|
Object Detection (SP)
|
100% |
9422
747.4 IPS |
|
|
Object Detection (HP)
|
100% |
14470
1.15 KIPS |
|
|
Object Detection (Q)
|
83% |
8172
660.2 IPS |
|
|
Face Detection (SP)
|
100% |
21634
257.1 IPS |
|
|
Face Detection (HP)
|
100% |
32446
385.5 IPS |
|
|
Face Detection (Q)
|
97% |
19482
232.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
45792
352.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
88246
679.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
36129
288.9 IPS |
|
|
Style Transfer (SP)
|
100% |
139414
179.2 IPS |
|
|
Style Transfer (HP)
|
100% |
465020
597.8 IPS |
|
|
Style Transfer (Q)
|
98% |
120560
155.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25457
940.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46466
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19967
739.4 IPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4103
5.48 KIPS |
|
|
Text Classification (Q)
|
97% |
2030
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3483
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3631
62.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1646
30.9 IPS |
