Micro-Star International Co., Ltd. MS-7D48
Geekbench AI Score
13449
Single Precision Score
23062
Half Precision Score
9201
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 07:27 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| 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 i5-14400F |
| 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% |
6046
1.12 KIPS |
|
|
Image Classification (HP)
|
99% |
10199
1.90 KIPS |
|
|
Image Classification (Q)
|
99% |
4493
838.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
8439
136.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12287
199.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
6981
113.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
63631
74.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
168158
196.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
53722
62.9 IPS |
|
|
Object Detection (SP)
|
100% |
7228
573.4 IPS |
|
|
Object Detection (HP)
|
100% |
12791
1.01 KIPS |
|
|
Object Detection (Q)
|
84% |
5544
447.2 IPS |
|
|
Face Detection (SP)
|
100% |
15725
186.9 IPS |
|
|
Face Detection (HP)
|
100% |
24913
296.0 IPS |
|
|
Face Detection (Q)
|
97% |
12226
145.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
32889
253.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
63637
491.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
22168
177.4 IPS |
|
|
Style Transfer (SP)
|
100% |
109976
141.4 IPS |
|
|
Style Transfer (HP)
|
100% |
288586
371.0 IPS |
|
|
Style Transfer (Q)
|
98% |
87582
112.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21072
778.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35642
1.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12719
471.0 IPS |
|
|
Text Classification (SP)
|
100% |
2476
3.31 KIPS |
|
|
Text Classification (HP)
|
99% |
3289
4.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1201
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2781
47.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2945
50.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1285
24.1 IPS |
