Gaming Desktop ASUS System Product Name
Geekbench AI Score
32732
Single Precision Score
42546
Half Precision Score
25680
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | penguinhunter |
| Upload Date | February 21 2025 06:06 PM |
| Views | 10 |
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 Z590-A GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11867
2.21 KIPS |
|
|
Image Classification (HP)
|
99% |
15198
2.83 KIPS |
|
|
Image Classification (Q)
|
100% |
10513
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16455
266.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19219
311.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
15315
249.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
301530
351.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
484537
565.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
262732
307.8 IPS |
|
|
Object Detection (SP)
|
100% |
16216
1.29 KIPS |
|
|
Object Detection (HP)
|
100% |
20126
1.60 KIPS |
|
|
Object Detection (Q)
|
86% |
14032
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
40726
483.9 IPS |
|
|
Face Detection (HP)
|
100% |
47737
567.2 IPS |
|
|
Face Detection (Q)
|
97% |
36019
429.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
94855
730.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
146319
1.13 KIPS |
|
|
Depth Estimation (Q)
|
77% |
69650
557.1 IPS |
|
|
Style Transfer (SP)
|
100% |
534664
687.3 IPS |
|
|
Style Transfer (HP)
|
100% |
939730
1.21 KIPS |
|
|
Style Transfer (Q)
|
98% |
459754
592.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55122
2.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70409
2.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42015
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
3266
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
3737
4.99 KIPS |
|
|
Text Classification (Q)
|
97% |
2010
2.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3977
68.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3951
68.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2158
40.5 IPS |
