ASUS System Product Name
Geekbench AI Score
40257
Single Precision Score
54045
Half Precision Score
30228
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 10:33 PM |
| Views | 47 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-E GAMING WIFI |
| Power Plan | Ultimative Leistung |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14799
2.75 KIPS |
|
|
Image Classification (HP)
|
99% |
19446
3.63 KIPS |
|
|
Image Classification (Q)
|
100% |
12455
2.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22701
368.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
27135
439.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
21082
342.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
359306
419.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
576245
672.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
309183
362.1 IPS |
|
|
Object Detection (SP)
|
100% |
19612
1.56 KIPS |
|
|
Object Detection (HP)
|
100% |
25015
1.98 KIPS |
|
|
Object Detection (Q)
|
89% |
16792
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
50756
603.1 IPS |
|
|
Face Detection (HP)
|
100% |
61197
727.2 IPS |
|
|
Face Detection (Q)
|
97% |
42995
512.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
102795
792.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
170660
1.31 KIPS |
|
|
Depth Estimation (Q)
|
75% |
74998
605.4 IPS |
|
|
Style Transfer (SP)
|
100% |
623636
801.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1155026
1.48 KIPS |
|
|
Style Transfer (Q)
|
98% |
529880
683.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
65434
2.42 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
86111
3.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48179
1.78 KIPS |
|
|
Text Classification (SP)
|
100% |
4193
5.60 KIPS |
|
|
Text Classification (HP)
|
99% |
5189
6.93 KIPS |
|
|
Text Classification (Q)
|
97% |
2484
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
5291
91.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5186
89.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2285
51.0 IPS |
