Generic
Geekbench AI Score
35950
Single Precision Score
49268
Half Precision Score
29614
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 09 2025 10:46 PM |
| Views | 3 |
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% |
15641
2.91 KIPS |
|
|
Image Classification (HP)
|
100% |
17799
3.31 KIPS |
|
|
Image Classification (Q)
|
99% |
15052
2.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18791
304.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21603
350.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
13927
226.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
229766
268.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
666703
777.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
209155
245.0 IPS |
|
|
Object Detection (SP)
|
100% |
16884
1.34 KIPS |
|
|
Object Detection (HP)
|
99% |
20504
1.63 KIPS |
|
|
Object Detection (Q)
|
87% |
13796
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
52915
628.7 IPS |
|
|
Face Detection (HP)
|
100% |
58470
694.7 IPS |
|
|
Face Detection (Q)
|
97% |
47499
566.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
91050
701.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
136041
1.05 KIPS |
|
|
Depth Estimation (Q)
|
77% |
75756
607.1 IPS |
|
|
Style Transfer (SP)
|
100% |
423798
544.8 IPS |
|
|
Style Transfer (HP)
|
100% |
758970
975.7 IPS |
|
|
Style Transfer (Q)
|
98% |
396557
511.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55403
2.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
85107
3.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46044
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
4104
5.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4609
6.15 KIPS |
|
|
Text Classification (Q)
|
97% |
3212
4.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
6812
117.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6771
116.6 IPS |
|
|
Machine Translation (Q)
|
70% |
4064
76.2 IPS |
