ASUS System Product Name
Geekbench AI Score
32713
Single Precision Score
43286
Half Precision Score
25031
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | goblin1200 |
| Upload Date | September 22 2024 02:09 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS X570-ACE |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12056
2.24 KIPS |
|
|
Image Classification (HP)
|
99% |
15233
2.84 KIPS |
|
|
Image Classification (Q)
|
100% |
10272
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16790
272.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19514
316.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
15895
258.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
305846
356.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
502560
586.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
267119
312.8 IPS |
|
|
Object Detection (SP)
|
100% |
15354
1.22 KIPS |
|
|
Object Detection (HP)
|
100% |
18838
1.49 KIPS |
|
|
Object Detection (Q)
|
89% |
12722
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
39676
471.4 IPS |
|
|
Face Detection (HP)
|
100% |
46814
556.3 IPS |
|
|
Face Detection (Q)
|
97% |
33877
403.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
88139
679.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
146215
1.13 KIPS |
|
|
Depth Estimation (Q)
|
75% |
64838
523.0 IPS |
|
|
Style Transfer (SP)
|
100% |
534774
687.5 IPS |
|
|
Style Transfer (HP)
|
100% |
968825
1.25 KIPS |
|
|
Style Transfer (Q)
|
98% |
460888
594.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55819
2.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72010
2.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42088
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
3410
4.55 KIPS |
|
|
Text Classification (HP)
|
99% |
4167
5.56 KIPS |
|
|
Text Classification (Q)
|
97% |
2120
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4148
71.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4124
71.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1927
43.0 IPS |
