ASUS System Product Name
Geekbench AI Score
37613
Single Precision Score
51681
Half Precision Score
27998
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | lautajo |
| Upload Date | August 16 2024 11:51 AM |
| Views | 8 |
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 MAXIMUS Z790 APEX |
| Power Plan | Paras suoritusteho |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14037
2.61 KIPS |
|
|
Image Classification (HP)
|
99% |
18781
3.50 KIPS |
|
|
Image Classification (Q)
|
100% |
11702
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22314
361.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
27382
443.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
20365
331.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
318901
372.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
534065
623.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
274308
321.2 IPS |
|
|
Object Detection (SP)
|
100% |
18476
1.47 KIPS |
|
|
Object Detection (HP)
|
100% |
24464
1.94 KIPS |
|
|
Object Detection (Q)
|
89% |
15863
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
49474
587.9 IPS |
|
|
Face Detection (HP)
|
100% |
59930
712.1 IPS |
|
|
Face Detection (Q)
|
97% |
41276
492.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
93193
718.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
158661
1.22 KIPS |
|
|
Depth Estimation (Q)
|
75% |
67779
547.1 IPS |
|
|
Style Transfer (SP)
|
100% |
564095
725.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1090059
1.40 KIPS |
|
|
Style Transfer (Q)
|
98% |
480153
619.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
60850
2.25 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81383
3.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44783
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
3859
5.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4878
6.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2263
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
5029
86.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4917
84.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2097
46.8 IPS |
