ASUS System Product Name
Geekbench AI Score
40661
Single Precision Score
56785
Half Precision Score
29817
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | usr |
| Upload Date | June 18 2025 10:27 PM |
| Views | 6 |
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% |
14741
2.74 KIPS |
|
|
Image Classification (HP)
|
99% |
19661
3.67 KIPS |
|
|
Image Classification (Q)
|
100% |
12466
2.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27707
449.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
35957
582.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
24671
401.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
314562
367.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
549985
641.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
253685
297.2 IPS |
|
|
Object Detection (SP)
|
100% |
20418
1.62 KIPS |
|
|
Object Detection (HP)
|
100% |
26676
2.12 KIPS |
|
|
Object Detection (Q)
|
86% |
16857
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
58061
689.9 IPS |
|
|
Face Detection (HP)
|
100% |
76000
903.1 IPS |
|
|
Face Detection (Q)
|
97% |
48389
577.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
97333
749.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
166270
1.28 KIPS |
|
|
Depth Estimation (Q)
|
77% |
70128
560.9 IPS |
|
|
Style Transfer (SP)
|
100% |
572692
736.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1139945
1.47 KIPS |
|
|
Style Transfer (Q)
|
98% |
485606
626.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
62413
2.30 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84200
3.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46397
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
3712
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
4519
6.03 KIPS |
|
|
Text Classification (Q)
|
97% |
2163
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
6282
108.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6133
105.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2554
47.9 IPS |
