ASUS System Product Name
Geekbench AI Score
24424
Single Precision Score
47407
Half Precision Score
18879
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | quarantadue |
| Upload Date | January 09 2026 03:45 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. B650E MAX GAMING WIFI |
| 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% |
10219
1.90 KIPS |
|
|
Image Classification (HP)
|
100% |
18761
3.49 KIPS |
|
|
Image Classification (Q)
|
100% |
9379
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18748
303.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
30204
489.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
17381
282.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
124263
145.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
416375
485.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
115889
135.7 IPS |
|
|
Object Detection (SP)
|
100% |
13144
1.04 KIPS |
|
|
Object Detection (HP)
|
100% |
24882
1.97 KIPS |
|
|
Object Detection (Q)
|
83% |
11150
900.9 IPS |
|
|
Face Detection (SP)
|
100% |
33549
398.6 IPS |
|
|
Face Detection (HP)
|
100% |
59230
703.8 IPS |
|
|
Face Detection (Q)
|
97% |
28901
344.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
56690
436.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
122665
945.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
45698
364.8 IPS |
|
|
Style Transfer (SP)
|
100% |
168752
216.9 IPS |
|
|
Style Transfer (HP)
|
100% |
604738
777.4 IPS |
|
|
Style Transfer (Q)
|
98% |
146503
188.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32750
1.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70138
2.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26980
999.0 IPS |
|
|
Text Classification (SP)
|
100% |
3842
5.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4741
6.33 KIPS |
|
|
Text Classification (Q)
|
97% |
2367
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
5980
103.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6686
115.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2210
41.4 IPS |
