System manufacturer System Product Name
Geekbench AI Score
3746
Single Precision Score
3851
Half Precision Score
6994
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | alexvb |
| Upload Date | October 29 2024 04:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700G with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 Home Single Language (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B450-PLUS |
| 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% |
2662
495.1 IPS |
|
|
Image Classification (HP)
|
100% |
2636
490.2 IPS |
|
|
Image Classification (Q)
|
100% |
5060
941.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2520
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2295
37.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4422
71.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4540
5.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
5598
6.53 IPS |
|
|
Pose Estimation (Q)
|
94% |
12098
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
2267
179.8 IPS |
|
|
Object Detection (HP)
|
100% |
2369
187.9 IPS |
|
|
Object Detection (Q)
|
87% |
4816
386.3 IPS |
|
|
Face Detection (SP)
|
100% |
5106
60.7 IPS |
|
|
Face Detection (HP)
|
100% |
5053
60.0 IPS |
|
|
Face Detection (Q)
|
97% |
13920
166.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6824
52.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6766
52.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
13276
104.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15929
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15636
20.1 IPS |
|
|
Style Transfer (Q)
|
98% |
33543
43.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3010
111.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3268
120.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7762
287.5 IPS |
|
|
Text Classification (SP)
|
100% |
1428
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
1402
1.87 KIPS |
|
|
Text Classification (Q)
|
91% |
1215
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3310
57.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3656
63.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3675
63.3 IPS |
