ASUS System Product Name
Geekbench AI Score
15690
Single Precision Score
22800
Half Precision Score
10473
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | gmn17 |
| Upload Date | September 17 2024 01:08 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG ZENITH II EXTREME |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 3960X |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6571
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
8580
1.60 KIPS |
|
|
Image Classification (Q)
|
100% |
4607
856.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
8601
139.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10233
165.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7034
114.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
101988
119.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
276343
322.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
81598
95.6 IPS |
|
|
Object Detection (SP)
|
100% |
7829
621.0 IPS |
|
|
Object Detection (HP)
|
100% |
10483
831.5 IPS |
|
|
Object Detection (Q)
|
89% |
5602
448.6 IPS |
|
|
Face Detection (SP)
|
100% |
17346
206.1 IPS |
|
|
Face Detection (HP)
|
100% |
22856
271.6 IPS |
|
|
Face Detection (Q)
|
97% |
13032
155.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
45419
349.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
69312
534.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
28948
233.2 IPS |
|
|
Style Transfer (SP)
|
100% |
191894
246.7 IPS |
|
|
Style Transfer (HP)
|
100% |
387219
497.8 IPS |
|
|
Style Transfer (Q)
|
98% |
145412
187.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27999
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
35064
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16384
606.7 IPS |
|
|
Text Classification (SP)
|
100% |
1872
2.50 KIPS |
|
|
Text Classification (HP)
|
99% |
2757
3.68 KIPS |
|
|
Text Classification (Q)
|
97% |
1137
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2529
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2517
43.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1049
23.4 IPS |
