Generic
Geekbench AI Score
37036
Single Precision Score
51914
Half Precision Score
29796
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 09 2025 11:41 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% |
13057
2.43 KIPS |
|
|
Image Classification (HP)
|
100% |
14346
2.67 KIPS |
|
|
Image Classification (Q)
|
99% |
11368
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21257
344.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
26758
433.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
14960
243.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
233662
272.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
679382
792.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
215618
252.6 IPS |
|
|
Object Detection (SP)
|
100% |
16139
1.28 KIPS |
|
|
Object Detection (HP)
|
99% |
21648
1.72 KIPS |
|
|
Object Detection (Q)
|
87% |
14838
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
54941
652.8 IPS |
|
|
Face Detection (HP)
|
100% |
65382
776.9 IPS |
|
|
Face Detection (Q)
|
97% |
48866
582.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
95108
732.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
143529
1.11 KIPS |
|
|
Depth Estimation (Q)
|
77% |
78535
629.4 IPS |
|
|
Style Transfer (SP)
|
100% |
441291
567.3 IPS |
|
|
Style Transfer (HP)
|
100% |
773136
993.9 IPS |
|
|
Style Transfer (Q)
|
98% |
391411
504.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57878
2.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
93190
3.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46365
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
4492
6.00 KIPS |
|
|
Text Classification (HP)
|
100% |
4843
6.46 KIPS |
|
|
Text Classification (Q)
|
97% |
3314
4.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
7740
133.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7692
132.5 IPS |
|
|
Machine Translation (Q)
|
70% |
4393
82.4 IPS |
