ASUS System Product Name
Geekbench AI Score
34000
Single Precision Score
45883
Half Precision Score
25597
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 03:19 AM |
| Views | 1 |
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 VIII HERO (WI-FI) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12124
2.25 KIPS |
|
|
Image Classification (HP)
|
99% |
16142
3.01 KIPS |
|
|
Image Classification (Q)
|
100% |
10391
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20345
329.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
24537
397.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
18755
305.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
302775
353.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
501340
585.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
262353
307.2 IPS |
|
|
Object Detection (SP)
|
100% |
16150
1.28 KIPS |
|
|
Object Detection (HP)
|
100% |
20261
1.61 KIPS |
|
|
Object Detection (Q)
|
89% |
13138
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
42828
508.9 IPS |
|
|
Face Detection (HP)
|
100% |
52737
626.6 IPS |
|
|
Face Detection (Q)
|
97% |
36722
437.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
87969
677.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
145594
1.12 KIPS |
|
|
Depth Estimation (Q)
|
75% |
63419
511.5 IPS |
|
|
Style Transfer (SP)
|
100% |
538454
692.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1020128
1.31 KIPS |
|
|
Style Transfer (Q)
|
98% |
460007
593.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54933
2.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71113
2.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40622
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
3241
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
3941
5.26 KIPS |
|
|
Text Classification (Q)
|
97% |
2036
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4740
81.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4683
80.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2029
45.3 IPS |
