Micro-Star International Co., Ltd. MS-7B89
Geekbench AI Score
13686
Single Precision Score
22992
Half Precision Score
9521
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | AndyMcSchopf |
| Upload Date | January 07 2025 07:33 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-7B89 |
| Motherboard | Micro-Star International Co., Ltd. B450M MORTAR MAX (MS-7B89) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5982
1.11 KIPS |
|
|
Image Classification (HP)
|
99% |
9619
1.79 KIPS |
|
|
Image Classification (Q)
|
99% |
4584
855.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
8609
139.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12571
203.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7088
115.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
71847
83.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
181369
211.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
59568
69.8 IPS |
|
|
Object Detection (SP)
|
100% |
6866
544.6 IPS |
|
|
Object Detection (HP)
|
100% |
12112
960.7 IPS |
|
|
Object Detection (Q)
|
84% |
5480
442.0 IPS |
|
|
Face Detection (SP)
|
100% |
15680
186.3 IPS |
|
|
Face Detection (HP)
|
100% |
25036
297.5 IPS |
|
|
Face Detection (Q)
|
97% |
12609
150.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
33472
257.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
65858
508.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
23456
187.8 IPS |
|
|
Style Transfer (SP)
|
100% |
119447
153.6 IPS |
|
|
Style Transfer (HP)
|
100% |
292339
375.8 IPS |
|
|
Style Transfer (Q)
|
98% |
89040
114.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20777
767.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33647
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13457
498.3 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
2991
3.99 KIPS |
|
|
Text Classification (Q)
|
97% |
1229
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3038
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3204
55.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1326
24.9 IPS |
