ASUS System Product Name
Geekbench AI Score
21650
Single Precision Score
31633
Half Precision Score
13249
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 07 2025 03:38 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII HERO |
| Power Plan | Balanced |
| 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% |
8511
1.58 KIPS |
|
|
Image Classification (HP)
|
99% |
11279
2.10 KIPS |
|
|
Image Classification (Q)
|
100% |
5719
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13899
225.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17986
291.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
10450
169.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
155035
180.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
325428
379.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
116738
136.8 IPS |
|
|
Object Detection (SP)
|
100% |
10812
857.6 IPS |
|
|
Object Detection (HP)
|
100% |
14393
1.14 KIPS |
|
|
Object Detection (Q)
|
85% |
7342
590.6 IPS |
|
|
Face Detection (SP)
|
100% |
28239
335.5 IPS |
|
|
Face Detection (HP)
|
100% |
38547
458.0 IPS |
|
|
Face Detection (Q)
|
97% |
18923
225.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
55868
430.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
96759
745.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
32367
259.2 IPS |
|
|
Style Transfer (SP)
|
100% |
239979
308.5 IPS |
|
|
Style Transfer (HP)
|
100% |
560882
721.0 IPS |
|
|
Style Transfer (Q)
|
98% |
168925
217.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33794
1.25 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47882
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18962
702.2 IPS |
|
|
Text Classification (SP)
|
100% |
2499
3.33 KIPS |
|
|
Text Classification (HP)
|
99% |
2969
3.96 KIPS |
|
|
Text Classification (Q)
|
97% |
1255
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3570
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3551
61.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1322
24.8 IPS |
