ASUS System Product Name
Geekbench AI Score
23432
Single Precision Score
35019
Half Precision Score
13536
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | iPaf |
| Upload Date | November 09 2024 03:24 PM |
| Views | 2 |
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. PRIME Z790M-PLUS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8869
1.65 KIPS |
|
|
Image Classification (HP)
|
99% |
12696
2.37 KIPS |
|
|
Image Classification (Q)
|
100% |
5499
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15608
253.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21507
348.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11210
182.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
176552
206.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
341438
398.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
127312
149.1 IPS |
|
|
Object Detection (SP)
|
100% |
11412
905.2 IPS |
|
|
Object Detection (HP)
|
100% |
16485
1.31 KIPS |
|
|
Object Detection (Q)
|
89% |
6988
559.5 IPS |
|
|
Face Detection (SP)
|
100% |
30371
360.9 IPS |
|
|
Face Detection (HP)
|
100% |
41752
496.1 IPS |
|
|
Face Detection (Q)
|
97% |
18936
225.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
54348
418.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
96434
743.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
31496
253.9 IPS |
|
|
Style Transfer (SP)
|
100% |
259476
333.6 IPS |
|
|
Style Transfer (HP)
|
100% |
592929
762.2 IPS |
|
|
Style Transfer (Q)
|
98% |
183165
236.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36181
1.34 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50395
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20031
741.7 IPS |
|
|
Text Classification (SP)
|
100% |
2861
3.82 KIPS |
|
|
Text Classification (HP)
|
99% |
3804
5.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1397
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4036
69.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3944
67.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1232
27.5 IPS |
