ASUS System Product Name
Geekbench AI Score
8949
Single Precision Score
8769
Half Precision Score
6546
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 01 2025 01:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B460-PRO (WI-FI) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3473
645.9 IPS |
|
|
Image Classification (HP)
|
100% |
3569
663.8 IPS |
|
|
Image Classification (Q)
|
99% |
2858
533.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4764
77.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5149
83.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4034
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
40823
47.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
36124
42.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
34870
40.8 IPS |
|
|
Object Detection (SP)
|
100% |
4566
362.2 IPS |
|
|
Object Detection (HP)
|
100% |
4690
372.0 IPS |
|
|
Object Detection (Q)
|
85% |
3699
297.8 IPS |
|
|
Face Detection (SP)
|
100% |
8025
95.4 IPS |
|
|
Face Detection (HP)
|
100% |
9306
110.6 IPS |
|
|
Face Detection (Q)
|
97% |
6453
76.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
18501
142.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18243
140.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
14316
114.4 IPS |
|
|
Style Transfer (SP)
|
100% |
88984
114.4 IPS |
|
|
Style Transfer (HP)
|
100% |
59518
76.5 IPS |
|
|
Style Transfer (Q)
|
98% |
70353
90.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15252
563.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14720
543.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9722
360.0 IPS |
|
|
Text Classification (SP)
|
100% |
2139
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
2396
3.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1180
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2479
42.7 IPS |
|
|
Machine Translation (HP)
|
96% |
2424
41.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1304
24.5 IPS |
