ASUS System Product Name
Geekbench AI Score
37989
Single Precision Score
52944
Half Precision Score
28400
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 05 2025 07:56 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-A GAMING WIFI D4 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13724
2.55 KIPS |
|
|
Image Classification (HP)
|
99% |
19218
3.58 KIPS |
|
|
Image Classification (Q)
|
100% |
11996
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25743
417.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
31757
514.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
21008
341.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
312009
364.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
538458
628.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
265668
311.3 IPS |
|
|
Object Detection (SP)
|
100% |
18494
1.47 KIPS |
|
|
Object Detection (HP)
|
100% |
24439
1.94 KIPS |
|
|
Object Detection (Q)
|
86% |
15419
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
48788
579.7 IPS |
|
|
Face Detection (HP)
|
100% |
65933
783.4 IPS |
|
|
Face Detection (Q)
|
97% |
43406
517.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
92875
715.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
159033
1.23 KIPS |
|
|
Depth Estimation (Q)
|
77% |
69112
552.8 IPS |
|
|
Style Transfer (SP)
|
100% |
567015
728.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1093414
1.41 KIPS |
|
|
Style Transfer (Q)
|
98% |
475710
613.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
60326
2.23 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81448
3.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43676
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
3759
5.02 KIPS |
|
|
Text Classification (HP)
|
99% |
4571
6.10 KIPS |
|
|
Text Classification (Q)
|
97% |
2150
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5271
90.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5048
86.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2468
46.3 IPS |
