Generic
Geekbench AI Score
2863
Single Precision Score
2900
Half Precision Score
3475
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Claus7911 |
| Upload Date | February 28 2026 11:29 AM |
| Views | 9 |
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% |
1727
321.2 IPS |
|
|
Image Classification (HP)
|
100% |
1750
325.5 IPS |
|
|
Image Classification (Q)
|
100% |
2146
399.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1288
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1450
23.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2771
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4620
5.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
4501
5.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
5464
6.41 IPS |
|
|
Object Detection (SP)
|
100% |
1790
142.0 IPS |
|
|
Object Detection (HP)
|
100% |
1812
143.7 IPS |
|
|
Object Detection (Q)
|
87% |
2379
190.8 IPS |
|
|
Face Detection (SP)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
3020
35.9 IPS |
|
|
Face Detection (Q)
|
97% |
7111
84.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5171
39.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4951
38.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
6180
48.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12303
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13083
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
15507
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2470
91.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2492
92.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3154
116.8 IPS |
|
|
Text Classification (SP)
|
100% |
1930
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
1908
2.55 KIPS |
|
|
Text Classification (Q)
|
91% |
723
971.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2224
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2188
37.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2143
36.9 IPS |
