Micro-Star International Co., Ltd. PRO H610M-G DDR4 (MS-7D46) Micro-Star International Co., Ltd. MS-7D46
Geekbench AI Score
11975
Single Precision Score
21012
Half Precision Score
8209
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | November 24 2025 04:38 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D46 |
| Motherboard | Micro-Star International Co., Ltd. PRO H610M-G DDR4 (MS-7D46) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-12300T |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5164
960.4 IPS |
|
|
Image Classification (HP)
|
100% |
9313
1.73 KIPS |
|
|
Image Classification (Q)
|
99% |
4029
751.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
8511
138.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12527
203.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6799
110.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
54039
63.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
148149
172.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
45812
53.7 IPS |
|
|
Object Detection (SP)
|
100% |
5872
465.8 IPS |
|
|
Object Detection (HP)
|
100% |
10952
868.7 IPS |
|
|
Object Detection (Q)
|
84% |
4487
361.9 IPS |
|
|
Face Detection (SP)
|
100% |
13935
165.6 IPS |
|
|
Face Detection (HP)
|
100% |
24372
289.6 IPS |
|
|
Face Detection (Q)
|
97% |
11963
142.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
27802
214.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
54050
416.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
19236
153.7 IPS |
|
|
Style Transfer (SP)
|
100% |
95748
123.1 IPS |
|
|
Style Transfer (HP)
|
100% |
220139
283.0 IPS |
|
|
Style Transfer (Q)
|
98% |
77942
100.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17302
638.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30101
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10080
373.3 IPS |
|
|
Text Classification (SP)
|
100% |
1930
2.58 KIPS |
|
|
Text Classification (HP)
|
99% |
2878
3.84 KIPS |
|
|
Text Classification (Q)
|
97% |
1065
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3513
60.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3528
60.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1283
24.1 IPS |
