ASUS System Product Name
Geekbench AI Score
31090
Single Precision Score
44410
Half Precision Score
23899
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 04:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII HERO (WI-FI) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12023
2.24 KIPS |
|
|
Image Classification (HP)
|
99% |
16432
3.06 KIPS |
|
|
Image Classification (Q)
|
100% |
10276
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18596
301.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22924
371.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
17179
279.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
252999
295.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
490994
572.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
225355
263.9 IPS |
|
|
Object Detection (SP)
|
100% |
14834
1.18 KIPS |
|
|
Object Detection (HP)
|
100% |
20222
1.60 KIPS |
|
|
Object Detection (Q)
|
89% |
12319
986.2 IPS |
|
|
Face Detection (SP)
|
100% |
39312
467.1 IPS |
|
|
Face Detection (HP)
|
100% |
49349
586.4 IPS |
|
|
Face Detection (Q)
|
97% |
33379
398.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
73125
563.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
131835
1.02 KIPS |
|
|
Depth Estimation (Q)
|
76% |
56107
452.5 IPS |
|
|
Style Transfer (SP)
|
100% |
389610
500.8 IPS |
|
|
Style Transfer (HP)
|
100% |
864524
1.11 KIPS |
|
|
Style Transfer (Q)
|
98% |
341084
439.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52955
1.96 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70494
2.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40299
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
3461
4.62 KIPS |
|
|
Text Classification (HP)
|
99% |
4225
5.64 KIPS |
|
|
Text Classification (Q)
|
97% |
2228
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
4900
84.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4763
82.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2163
48.2 IPS |
