Generic
Geekbench AI Score
32039
Single Precision Score
43267
Half Precision Score
26372
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 12:44 AM |
| 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% |
12608
2.34 KIPS |
|
|
Image Classification (HP)
|
100% |
14157
2.63 KIPS |
|
|
Image Classification (Q)
|
99% |
11100
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21616
350.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
27405
444.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
19909
323.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
233770
272.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
623038
727.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
215221
252.1 IPS |
|
|
Object Detection (SP)
|
100% |
12196
967.4 IPS |
|
|
Object Detection (HP)
|
99% |
16318
1.29 KIPS |
|
|
Object Detection (Q)
|
87% |
11164
896.7 IPS |
|
|
Face Detection (SP)
|
100% |
43051
511.5 IPS |
|
|
Face Detection (HP)
|
100% |
47468
564.0 IPS |
|
|
Face Detection (Q)
|
97% |
37693
449.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
93294
718.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
120473
928.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
75327
603.7 IPS |
|
|
Style Transfer (SP)
|
100% |
357569
459.7 IPS |
|
|
Style Transfer (HP)
|
100% |
611724
786.4 IPS |
|
|
Style Transfer (Q)
|
98% |
349059
450.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45708
1.69 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66622
2.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38722
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
3754
5.01 KIPS |
|
|
Text Classification (HP)
|
100% |
4173
5.57 KIPS |
|
|
Text Classification (Q)
|
97% |
2495
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
5953
102.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5994
103.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3201
60.0 IPS |
