Micro-Star International Co., Ltd. MS-7B23
Geekbench AI Score
13073
Single Precision Score
22641
Half Precision Score
9168
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 20 2025 06:58 AM |
| Views | 4 |
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-7B23 |
| Motherboard | Micro-Star International Co., Ltd. B360M MORTAR (MS-7B23) |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5190
965.3 IPS |
|
|
Image Classification (HP)
|
99% |
9063
1.69 KIPS |
|
|
Image Classification (Q)
|
99% |
4163
776.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
8828
143.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12928
209.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7167
116.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
66985
78.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
181524
211.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
55240
64.7 IPS |
|
|
Object Detection (SP)
|
100% |
6678
529.7 IPS |
|
|
Object Detection (HP)
|
100% |
11826
938.1 IPS |
|
|
Object Detection (Q)
|
84% |
5138
414.4 IPS |
|
|
Face Detection (SP)
|
100% |
14640
174.0 IPS |
|
|
Face Detection (HP)
|
100% |
25168
299.0 IPS |
|
|
Face Detection (Q)
|
97% |
12352
147.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
34006
262.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
64095
495.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
23100
184.9 IPS |
|
|
Style Transfer (SP)
|
100% |
110896
142.6 IPS |
|
|
Style Transfer (HP)
|
100% |
273505
351.6 IPS |
|
|
Style Transfer (Q)
|
98% |
90141
116.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19393
716.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33715
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12908
478.0 IPS |
|
|
Text Classification (SP)
|
100% |
2235
2.98 KIPS |
|
|
Text Classification (HP)
|
99% |
3027
4.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1150
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2975
51.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3126
53.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1298
24.4 IPS |
