ASUS System Product Name
Geekbench AI Score
35262
Single Precision Score
47870
Half Precision Score
26275
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Benster412 |
| Upload Date | January 27 2025 10:45 PM |
| Views | 7 |
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-F GAMING WIFI |
| Power Plan | High performance |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12917
2.40 KIPS |
|
|
Image Classification (HP)
|
99% |
16817
3.14 KIPS |
|
|
Image Classification (Q)
|
100% |
11033
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20641
334.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24762
401.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
19125
311.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
298004
347.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
525231
612.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
262040
306.9 IPS |
|
|
Object Detection (SP)
|
100% |
17186
1.36 KIPS |
|
|
Object Detection (HP)
|
100% |
21663
1.72 KIPS |
|
|
Object Detection (Q)
|
89% |
13932
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
45823
544.5 IPS |
|
|
Face Detection (HP)
|
100% |
54173
643.7 IPS |
|
|
Face Detection (Q)
|
97% |
37920
452.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
90818
699.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
155713
1.20 KIPS |
|
|
Depth Estimation (Q)
|
75% |
66397
535.5 IPS |
|
|
Style Transfer (SP)
|
100% |
568577
730.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1046576
1.35 KIPS |
|
|
Style Transfer (Q)
|
98% |
464448
598.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59340
2.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77731
2.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41153
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
3420
4.56 KIPS |
|
|
Text Classification (HP)
|
99% |
4305
5.75 KIPS |
|
|
Text Classification (Q)
|
97% |
2124
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4533
78.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4515
77.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1992
44.4 IPS |
