ASUS System Product Name
Geekbench AI Score
35223
Single Precision Score
48373
Half Precision Score
26779
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | CWade3051 |
| Upload Date | November 04 2024 12:26 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 CROSSHAIR X670E EXTREME |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12844
2.39 KIPS |
|
|
Image Classification (HP)
|
99% |
16803
3.13 KIPS |
|
|
Image Classification (Q)
|
100% |
10757
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22338
362.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
28472
461.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
21405
348.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
298271
348.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
521934
609.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
259402
303.8 IPS |
|
|
Object Detection (SP)
|
100% |
17851
1.42 KIPS |
|
|
Object Detection (HP)
|
100% |
22992
1.82 KIPS |
|
|
Object Detection (Q)
|
89% |
14290
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
49544
588.7 IPS |
|
|
Face Detection (HP)
|
100% |
60357
717.2 IPS |
|
|
Face Detection (Q)
|
97% |
39626
472.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
75977
585.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
128608
990.8 IPS |
|
|
Depth Estimation (Q)
|
75% |
64466
520.0 IPS |
|
|
Style Transfer (SP)
|
100% |
543134
698.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1042424
1.34 KIPS |
|
|
Style Transfer (Q)
|
98% |
470093
606.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55571
2.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74056
2.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41893
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
3246
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
3981
5.31 KIPS |
|
|
Text Classification (Q)
|
97% |
2036
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
5219
89.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5123
88.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2170
48.4 IPS |
