Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
3919
Single Precision Score
3900
Half Precision Score
7138
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | mariahsnodules |
| Upload Date | September 10 2024 10:12 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700G with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd MS-7B86 |
| Motherboard | Micro-Star International Co., Ltd B450 GAMING PLUS MAX (MS-7B86) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2699
502.0 IPS |
|
|
Image Classification (HP)
|
100% |
2645
492.0 IPS |
|
|
Image Classification (Q)
|
100% |
5082
945.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2368
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2378
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4394
71.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5598
6.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
5516
6.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
13543
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2510
199.1 IPS |
|
|
Object Detection (HP)
|
100% |
2569
203.7 IPS |
|
|
Object Detection (Q)
|
87% |
4783
383.6 IPS |
|
|
Face Detection (SP)
|
100% |
5329
63.3 IPS |
|
|
Face Detection (HP)
|
100% |
5180
61.5 IPS |
|
|
Face Detection (Q)
|
97% |
13534
161.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6595
50.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6929
53.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
13549
107.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16189
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
16257
20.9 IPS |
|
|
Style Transfer (Q)
|
98% |
38995
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3270
120.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3171
117.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7832
290.1 IPS |
|
|
Text Classification (SP)
|
100% |
1383
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
1344
1.79 KIPS |
|
|
Text Classification (Q)
|
91% |
1161
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3701
63.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3681
63.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3653
62.9 IPS |
