Generic
Geekbench AI Score
8782
Single Precision Score
8749
Half Precision Score
6219
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | monopuerco |
| Upload Date | August 15 2024 11:18 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z370 Killer SLI/ac |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8600K |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2395
445.4 IPS |
|
|
Image Classification (HP)
|
100% |
3555
661.1 IPS |
|
|
Image Classification (Q)
|
100% |
1953
363.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5528
89.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5503
89.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4562
74.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
69059
80.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
35594
41.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
53437
62.6 IPS |
|
|
Object Detection (SP)
|
100% |
2975
236.0 IPS |
|
|
Object Detection (HP)
|
100% |
4803
381.0 IPS |
|
|
Object Detection (Q)
|
89% |
2580
206.5 IPS |
|
|
Face Detection (SP)
|
100% |
5997
71.3 IPS |
|
|
Face Detection (HP)
|
100% |
8386
99.6 IPS |
|
|
Face Detection (Q)
|
97% |
4499
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20463
157.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18497
142.5 IPS |
|
|
Depth Estimation (Q)
|
74% |
15044
122.3 IPS |
|
|
Style Transfer (SP)
|
100% |
106513
136.9 IPS |
|
|
Style Transfer (HP)
|
100% |
61088
78.5 IPS |
|
|
Style Transfer (Q)
|
98% |
81495
105.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18533
684.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15069
556.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11232
415.9 IPS |
|
|
Text Classification (SP)
|
100% |
1528
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
2072
2.77 KIPS |
|
|
Text Classification (Q)
|
97% |
993
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2712
46.7 IPS |
|
|
Machine Translation (HP)
|
96% |
2658
46.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1147
25.6 IPS |
