ASUS System Product Name
Geekbench AI Score
39702
Single Precision Score
54260
Half Precision Score
29141
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | AhmaadACM |
| Upload Date | October 17 2024 11:15 AM |
| Views | 12 |
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 X670E-I GAMING WIFI |
| Power Plan | GameTurbo (High Performance) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14245
2.65 KIPS |
|
|
Image Classification (HP)
|
99% |
18731
3.49 KIPS |
|
|
Image Classification (Q)
|
100% |
11924
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23460
380.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
29102
471.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
22350
363.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
334183
389.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
547232
638.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
290466
340.1 IPS |
|
|
Object Detection (SP)
|
100% |
19780
1.57 KIPS |
|
|
Object Detection (HP)
|
100% |
25774
2.04 KIPS |
|
|
Object Detection (Q)
|
89% |
15630
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
52544
624.3 IPS |
|
|
Face Detection (HP)
|
100% |
64192
762.7 IPS |
|
|
Face Detection (Q)
|
97% |
43350
516.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
96972
747.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
162878
1.25 KIPS |
|
|
Depth Estimation (Q)
|
75% |
68690
554.0 IPS |
|
|
Style Transfer (SP)
|
100% |
606227
779.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1161702
1.49 KIPS |
|
|
Style Transfer (Q)
|
98% |
507892
654.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
64138
2.37 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
85689
3.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46264
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
4037
5.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5106
6.81 KIPS |
|
|
Text Classification (Q)
|
97% |
2317
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
5508
94.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5414
93.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2252
50.2 IPS |
