ASUS System Product Name
Geekbench AI Score
26320
Single Precision Score
34472
Half Precision Score
22538
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2026 02:11 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B850-PLUS WIFI |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| 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% |
9527
1.77 KIPS |
|
|
Image Classification (HP)
|
100% |
11474
2.13 KIPS |
|
|
Image Classification (Q)
|
99% |
8952
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13202
214.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14529
235.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
17467
284.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
200978
234.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
559081
652.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
184983
216.7 IPS |
|
|
Object Detection (SP)
|
100% |
10619
842.3 IPS |
|
|
Object Detection (HP)
|
99% |
12720
1.01 KIPS |
|
|
Object Detection (Q)
|
87% |
9967
800.5 IPS |
|
|
Face Detection (SP)
|
100% |
38343
455.6 IPS |
|
|
Face Detection (HP)
|
100% |
44499
528.7 IPS |
|
|
Face Detection (Q)
|
97% |
33979
405.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
83432
642.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
112582
867.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
70627
566.0 IPS |
|
|
Style Transfer (SP)
|
100% |
346228
445.1 IPS |
|
|
Style Transfer (HP)
|
100% |
486530
625.4 IPS |
|
|
Style Transfer (Q)
|
98% |
328473
423.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38453
1.42 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47757
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28753
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2742
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
3348
4.47 KIPS |
|
|
Text Classification (Q)
|
97% |
1928
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5091
87.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5130
88.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2685
50.4 IPS |
