Generic
Geekbench AI Score
35097
Single Precision Score
46540
Half Precision Score
29114
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 09 2025 11:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B550 Phantom Gaming-ITX/ax |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17401
3.24 KIPS |
|
|
Image Classification (HP)
|
100% |
18926
3.52 KIPS |
|
|
Image Classification (Q)
|
99% |
15553
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27837
451.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
34167
553.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
25702
417.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
236779
276.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
688989
803.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
213668
250.3 IPS |
|
|
Object Detection (SP)
|
100% |
16907
1.34 KIPS |
|
|
Object Detection (HP)
|
99% |
22720
1.80 KIPS |
|
|
Object Detection (Q)
|
87% |
15446
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
54403
646.4 IPS |
|
|
Face Detection (HP)
|
100% |
65407
777.2 IPS |
|
|
Face Detection (Q)
|
97% |
48666
580.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
95326
734.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
142415
1.10 KIPS |
|
|
Depth Estimation (Q)
|
77% |
78441
628.6 IPS |
|
|
Style Transfer (SP)
|
100% |
441888
568.1 IPS |
|
|
Style Transfer (HP)
|
100% |
459233
590.4 IPS |
|
|
Style Transfer (Q)
|
98% |
355734
458.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37991
1.40 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55888
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35460
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
3099
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3715
4.96 KIPS |
|
|
Text Classification (Q)
|
97% |
2138
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5422
93.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5303
91.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3222
60.4 IPS |
