ASUS System Product Name
Geekbench AI Score
37768
Single Precision Score
51368
Half Precision Score
28752
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 11 2025 12:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 HERO |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13574
2.52 KIPS |
|
|
Image Classification (HP)
|
99% |
17625
3.29 KIPS |
|
|
Image Classification (Q)
|
100% |
11694
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24650
399.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
30534
495.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
22373
363.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
305235
356.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
540253
630.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
265811
311.4 IPS |
|
|
Object Detection (SP)
|
100% |
18235
1.45 KIPS |
|
|
Object Detection (HP)
|
100% |
23099
1.83 KIPS |
|
|
Object Detection (Q)
|
86% |
15493
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
52618
625.2 IPS |
|
|
Face Detection (HP)
|
100% |
65041
772.8 IPS |
|
|
Face Detection (Q)
|
97% |
44824
534.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
97762
753.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
154083
1.19 KIPS |
|
|
Depth Estimation (Q)
|
77% |
71731
573.7 IPS |
|
|
Style Transfer (SP)
|
100% |
546458
702.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1054035
1.35 KIPS |
|
|
Style Transfer (Q)
|
98% |
471815
608.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57699
2.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77172
2.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43621
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
3530
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4342
5.80 KIPS |
|
|
Text Classification (Q)
|
97% |
2080
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
5539
95.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5382
92.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2604
48.8 IPS |
