ASUS System Product Name
Geekbench AI Score
36158
Single Precision Score
51380
Half Precision Score
31866
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | billybobsmoot |
| Upload Date | January 13 2026 07:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z690 HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17082
3.18 KIPS |
|
|
Image Classification (HP)
|
100% |
19663
3.66 KIPS |
|
|
Image Classification (Q)
|
99% |
15724
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20172
327.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23696
384.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
25685
417.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
211392
246.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
655334
764.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
192250
225.2 IPS |
|
|
Object Detection (SP)
|
100% |
15429
1.22 KIPS |
|
|
Object Detection (HP)
|
99% |
22064
1.75 KIPS |
|
|
Object Detection (Q)
|
87% |
17027
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
54914
652.5 IPS |
|
|
Face Detection (HP)
|
100% |
62996
748.5 IPS |
|
|
Face Detection (Q)
|
97% |
50250
599.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
86789
668.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
134002
1.03 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72815
583.5 IPS |
|
|
Style Transfer (SP)
|
100% |
395559
508.5 IPS |
|
|
Style Transfer (HP)
|
100% |
725442
932.6 IPS |
|
|
Style Transfer (Q)
|
98% |
367734
474.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54154
2.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
88076
3.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44633
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
4742
6.33 KIPS |
|
|
Text Classification (HP)
|
100% |
4936
6.59 KIPS |
|
|
Text Classification (Q)
|
97% |
3326
4.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
7022
121.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7149
123.1 IPS |
|
|
Machine Translation (Q)
|
70% |
4089
76.7 IPS |
