ASUS System Product Name
Geekbench AI Score
35284
Single Precision Score
47938
Half Precision Score
26202
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 03:38 PM |
| Views | 6 |
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. TUF GAMING B650-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12380
2.30 KIPS |
|
|
Image Classification (HP)
|
99% |
16407
3.06 KIPS |
|
|
Image Classification (Q)
|
100% |
10390
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21978
356.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
27177
440.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
20690
336.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
300687
350.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
510131
595.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
263104
308.1 IPS |
|
|
Object Detection (SP)
|
100% |
17447
1.38 KIPS |
|
|
Object Detection (HP)
|
100% |
21861
1.73 KIPS |
|
|
Object Detection (Q)
|
89% |
13671
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
48523
576.6 IPS |
|
|
Face Detection (HP)
|
100% |
58968
700.7 IPS |
|
|
Face Detection (Q)
|
97% |
40528
483.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
88880
684.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
147386
1.14 KIPS |
|
|
Depth Estimation (Q)
|
75% |
64263
518.3 IPS |
|
|
Style Transfer (SP)
|
100% |
546661
702.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1045507
1.34 KIPS |
|
|
Style Transfer (Q)
|
98% |
463120
597.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55739
2.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73942
2.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41302
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
3937
5.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1950
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4976
85.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4873
83.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2031
45.3 IPS |
