Generic
Geekbench AI Score
6712
Single Precision Score
7291
Half Precision Score
4802
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Neferzix |
| Upload Date | January 29 2026 05:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX 570 Series |
| 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% |
2691
500.4 IPS |
|
|
Image Classification (HP)
|
100% |
3143
584.4 IPS |
|
|
Image Classification (Q)
|
100% |
2225
413.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3362
54.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3701
60.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2818
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
36082
42.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
39165
45.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
30979
36.3 IPS |
|
|
Object Detection (SP)
|
100% |
3066
243.2 IPS |
|
|
Object Detection (HP)
|
100% |
3237
256.7 IPS |
|
|
Object Detection (Q)
|
88% |
2543
203.9 IPS |
|
|
Face Detection (SP)
|
100% |
8285
98.4 IPS |
|
|
Face Detection (HP)
|
100% |
10790
128.2 IPS |
|
|
Face Detection (Q)
|
97% |
6559
78.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16064
123.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18016
139.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
11558
92.6 IPS |
|
|
Style Transfer (SP)
|
100% |
67162
86.3 IPS |
|
|
Style Transfer (HP)
|
100% |
75818
97.5 IPS |
|
|
Style Transfer (Q)
|
98% |
51319
66.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9240
341.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10306
380.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6045
223.8 IPS |
|
|
Text Classification (SP)
|
100% |
1089
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
902
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
636
852.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2063
35.5 IPS |
|
|
Machine Translation (HP)
|
96% |
2101
36.3 IPS |
|
|
Machine Translation (Q)
|
70% |
883
16.6 IPS |
