ASUS System Product Name
Geekbench AI Score
35373
Single Precision Score
61689
Half Precision Score
26639
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ATOM |
| Upload Date | December 09 2025 08:46 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z690 HERO |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14571
2.71 KIPS |
|
|
Image Classification (HP)
|
100% |
22680
4.22 KIPS |
|
|
Image Classification (Q)
|
100% |
12969
2.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27460
445.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
41237
668.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
24212
393.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
178468
208.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
701762
818.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
160512
188.0 IPS |
|
|
Object Detection (SP)
|
100% |
17836
1.41 KIPS |
|
|
Object Detection (HP)
|
100% |
29038
2.30 KIPS |
|
|
Object Detection (Q)
|
86% |
14956
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
50995
605.9 IPS |
|
|
Face Detection (HP)
|
100% |
72970
867.0 IPS |
|
|
Face Detection (Q)
|
97% |
42197
503.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
87282
672.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
152080
1.17 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65233
520.9 IPS |
|
|
Style Transfer (SP)
|
100% |
329643
423.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1071678
1.38 KIPS |
|
|
Style Transfer (Q)
|
98% |
273683
352.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49935
1.84 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84417
3.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38601
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
4243
5.66 KIPS |
|
|
Text Classification (HP)
|
100% |
5389
7.19 KIPS |
|
|
Text Classification (Q)
|
97% |
2575
3.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
7748
133.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7741
133.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3189
59.8 IPS |
