Generic
Geekbench AI Score
2360
Single Precision Score
1123
Half Precision Score
2386
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Neferzix |
| Upload Date | January 29 2026 05:29 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 3 3300X |
| 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% |
1801
335.0 IPS |
|
|
Image Classification (HP)
|
100% |
466
86.6 IPS |
|
|
Image Classification (Q)
|
96% |
1777
331.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1043
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
439
7.12 IPS |
|
|
Image Segmentation (Q)
|
97% |
2191
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3375
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
2777
3.24 IPS |
|
|
Pose Estimation (Q)
|
86% |
3485
4.12 IPS |
|
|
Object Detection (SP)
|
100% |
1794
142.3 IPS |
|
|
Object Detection (HP)
|
100% |
571
45.3 IPS |
|
|
Object Detection (Q)
|
58% |
1253
136.9 IPS |
|
|
Face Detection (SP)
|
100% |
3327
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
1224
14.5 IPS |
|
|
Face Detection (Q)
|
96% |
4058
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4391
33.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1618
12.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
4155
33.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7710
9.91 IPS |
|
|
Style Transfer (HP)
|
100% |
6324
8.13 IPS |
|
|
Style Transfer (Q)
|
87% |
7038
9.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1642
60.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1359
50.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1693
62.7 IPS |
|
|
Text Classification (SP)
|
100% |
1425
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
778
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1008
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1789
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
748
12.9 IPS |
|
|
Machine Translation (Q)
|
68% |
1740
33.6 IPS |
