Generic
Geekbench AI Score
3208
Single Precision Score
3243
Half Precision Score
3625
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Claus7911 |
| Upload Date | February 28 2026 01:47 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 PRO 4650G with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B450M Pro4 |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 PRO 4650G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1974
367.1 IPS |
|
|
Image Classification (HP)
|
100% |
1881
349.9 IPS |
|
|
Image Classification (Q)
|
100% |
2182
405.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1456
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1716
27.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2930
47.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4785
5.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
4828
5.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
5479
6.43 IPS |
|
|
Object Detection (SP)
|
100% |
1977
156.8 IPS |
|
|
Object Detection (HP)
|
100% |
2011
159.5 IPS |
|
|
Object Detection (Q)
|
87% |
2416
193.7 IPS |
|
|
Face Detection (SP)
|
100% |
3856
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
3770
44.8 IPS |
|
|
Face Detection (Q)
|
97% |
7461
89.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5618
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5631
43.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
6340
50.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13748
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13727
17.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15659
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2611
96.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2635
97.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3196
118.4 IPS |
|
|
Text Classification (SP)
|
100% |
2077
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2041
2.72 KIPS |
|
|
Text Classification (Q)
|
91% |
759
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2636
45.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2621
45.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2578
44.4 IPS |
