ASUS System Product Name
Geekbench AI Score
29047
Single Precision Score
39166
Half Precision Score
25522
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 07 2025 02:18 AM |
| Views | 1 |
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 | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| Power Plan | HYDRA |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10615
1.97 KIPS |
|
|
Image Classification (HP)
|
100% |
12105
2.25 KIPS |
|
|
Image Classification (Q)
|
99% |
10798
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15345
248.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
17342
281.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
19378
315.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
225473
263.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
613810
716.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
202998
237.8 IPS |
|
|
Object Detection (SP)
|
100% |
12461
988.4 IPS |
|
|
Object Detection (HP)
|
99% |
16114
1.28 KIPS |
|
|
Object Detection (Q)
|
87% |
10715
860.5 IPS |
|
|
Face Detection (SP)
|
100% |
40851
485.4 IPS |
|
|
Face Detection (HP)
|
100% |
48493
576.2 IPS |
|
|
Face Detection (Q)
|
97% |
36820
439.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
85679
660.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
106852
823.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
73077
585.6 IPS |
|
|
Style Transfer (SP)
|
100% |
364615
468.7 IPS |
|
|
Style Transfer (HP)
|
100% |
591603
760.5 IPS |
|
|
Style Transfer (Q)
|
98% |
362084
466.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40448
1.49 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62528
2.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33643
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3181
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
3656
4.88 KIPS |
|
|
Text Classification (Q)
|
97% |
2366
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
5690
98.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5838
100.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3323
62.3 IPS |
