ASUS System Product Name
Geekbench AI Score
40445
Single Precision Score
56798
Half Precision Score
29914
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | usr |
| Upload Date | June 18 2025 10:25 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z790-A WIFI |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14586
2.71 KIPS |
|
|
Image Classification (HP)
|
99% |
19611
3.66 KIPS |
|
|
Image Classification (Q)
|
100% |
12420
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27577
447.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
35942
582.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
24585
399.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
302137
352.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
554580
647.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
253901
297.5 IPS |
|
|
Object Detection (SP)
|
100% |
20389
1.62 KIPS |
|
|
Object Detection (HP)
|
100% |
26633
2.11 KIPS |
|
|
Object Detection (Q)
|
86% |
16820
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
57773
686.5 IPS |
|
|
Face Detection (HP)
|
100% |
75747
900.0 IPS |
|
|
Face Detection (Q)
|
97% |
48859
582.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
99900
769.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
164789
1.27 KIPS |
|
|
Depth Estimation (Q)
|
77% |
69238
553.8 IPS |
|
|
Style Transfer (SP)
|
100% |
566346
728.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1136116
1.46 KIPS |
|
|
Style Transfer (Q)
|
98% |
482806
622.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
62638
2.31 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83993
3.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46287
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
3704
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
4537
6.06 KIPS |
|
|
Text Classification (Q)
|
97% |
2152
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
6233
107.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6211
107.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2705
50.7 IPS |
