Generic
Geekbench AI Score
23267
Single Precision Score
33734
Half Precision Score
20091
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 11 2025 04:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Generic |
| Motherboard | ASRock X300-ITX |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10971
2.04 KIPS |
|
|
Image Classification (HP)
|
100% |
13198
2.45 KIPS |
|
|
Image Classification (Q)
|
100% |
10743
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10739
174.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12884
208.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
14193
230.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
139661
163.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
428898
500.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
120690
141.4 IPS |
|
|
Object Detection (SP)
|
100% |
10109
801.9 IPS |
|
|
Object Detection (HP)
|
99% |
14487
1.15 KIPS |
|
|
Object Detection (Q)
|
87% |
9435
757.7 IPS |
|
|
Face Detection (SP)
|
100% |
29306
348.2 IPS |
|
|
Face Detection (HP)
|
100% |
39912
474.2 IPS |
|
|
Face Detection (Q)
|
97% |
25745
307.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
65757
506.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
90323
695.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
54883
440.1 IPS |
|
|
Style Transfer (SP)
|
100% |
246144
316.4 IPS |
|
|
Style Transfer (HP)
|
100% |
456288
586.6 IPS |
|
|
Style Transfer (Q)
|
98% |
209615
270.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36231
1.34 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63673
2.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30301
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3146
4.20 KIPS |
|
|
Text Classification (HP)
|
100% |
3214
4.29 KIPS |
|
|
Text Classification (Q)
|
97% |
2293
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
5172
89.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5367
92.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3000
56.3 IPS |
