Generic
Geekbench AI Score
2946
Single Precision Score
2943
Half Precision Score
3460
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Claus7911 |
| Upload Date | February 28 2026 11:19 AM |
| Views | 8 |
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% |
1770
329.3 IPS |
|
|
Image Classification (HP)
|
100% |
1780
331.0 IPS |
|
|
Image Classification (Q)
|
100% |
2081
387.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1475
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1414
22.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2724
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4670
5.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
4678
5.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
5465
6.41 IPS |
|
|
Object Detection (SP)
|
100% |
1802
142.9 IPS |
|
|
Object Detection (HP)
|
100% |
1819
144.3 IPS |
|
|
Object Detection (Q)
|
87% |
2373
190.3 IPS |
|
|
Face Detection (SP)
|
100% |
3100
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
3150
37.4 IPS |
|
|
Face Detection (Q)
|
97% |
7002
83.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5293
40.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5152
39.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
6218
49.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12884
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12981
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
15428
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2442
90.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2517
93.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3141
116.4 IPS |
|
|
Text Classification (SP)
|
100% |
1971
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
1959
2.61 KIPS |
|
|
Text Classification (Q)
|
91% |
733
985.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2207
38.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2192
37.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2164
37.3 IPS |
