ASUS System Product Name
Geekbench AI Score
38113
Single Precision Score
52015
Half Precision Score
28274
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | lautajo |
| Upload Date | October 16 2024 03:48 PM |
| Views | 4 |
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% |
13871
2.58 KIPS |
|
|
Image Classification (HP)
|
99% |
18387
3.43 KIPS |
|
|
Image Classification (Q)
|
100% |
11820
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22663
367.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
27519
446.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
20743
337.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
324677
378.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
528558
616.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
275247
322.3 IPS |
|
|
Object Detection (SP)
|
100% |
19048
1.51 KIPS |
|
|
Object Detection (HP)
|
100% |
24777
1.97 KIPS |
|
|
Object Detection (Q)
|
89% |
16015
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
49237
585.0 IPS |
|
|
Face Detection (HP)
|
100% |
60983
724.6 IPS |
|
|
Face Detection (Q)
|
97% |
41084
489.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
94146
725.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
160309
1.24 KIPS |
|
|
Depth Estimation (Q)
|
75% |
67986
548.8 IPS |
|
|
Style Transfer (SP)
|
100% |
575331
739.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1097890
1.41 KIPS |
|
|
Style Transfer (Q)
|
98% |
486313
627.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
62935
2.32 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84311
3.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45561
1.69 KIPS |
|
|
Text Classification (SP)
|
100% |
3904
5.21 KIPS |
|
|
Text Classification (HP)
|
99% |
4887
6.52 KIPS |
|
|
Text Classification (Q)
|
97% |
2301
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5077
87.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4948
85.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2122
47.3 IPS |
