Generic
Geekbench AI Score
2649
Single Precision Score
2646
Half Precision Score
2811
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Neferzix |
| Upload Date | January 29 2026 05:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 3 3300X 4-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B450M Pro4 R2.0 |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 3300X |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1776
330.2 IPS |
|
|
Image Classification (HP)
|
100% |
1786
332.2 IPS |
|
|
Image Classification (Q)
|
100% |
1916
356.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
702
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
701
11.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1236
20.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3446
4.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
3460
4.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
3779
4.43 IPS |
|
|
Object Detection (SP)
|
100% |
1796
142.4 IPS |
|
|
Object Detection (HP)
|
100% |
1795
142.4 IPS |
|
|
Object Detection (Q)
|
87% |
1898
152.2 IPS |
|
|
Face Detection (SP)
|
100% |
3670
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
3656
43.4 IPS |
|
|
Face Detection (Q)
|
97% |
5702
68.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4748
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4709
36.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
4800
37.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9829
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9856
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
10973
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2133
78.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2140
79.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2344
86.8 IPS |
|
|
Text Classification (SP)
|
100% |
2030
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2031
2.71 KIPS |
|
|
Text Classification (Q)
|
91% |
891
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2981
51.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2940
50.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2892
49.8 IPS |
