Generic
Geekbench AI Score
8465
Single Precision Score
8574
Half Precision Score
6043
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | monopuerco |
| Upload Date | August 15 2024 09:04 PM |
| Views | 4 |
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% |
2358
438.5 IPS |
|
|
Image Classification (HP)
|
100% |
3549
659.9 IPS |
|
|
Image Classification (Q)
|
100% |
2018
375.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5268
85.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5406
87.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4439
72.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
67721
79.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
34281
40.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
52111
61.0 IPS |
|
|
Object Detection (SP)
|
100% |
2811
222.9 IPS |
|
|
Object Detection (HP)
|
100% |
4709
373.5 IPS |
|
|
Object Detection (Q)
|
89% |
2386
191.0 IPS |
|
|
Face Detection (SP)
|
100% |
5531
65.7 IPS |
|
|
Face Detection (HP)
|
100% |
8239
97.9 IPS |
|
|
Face Detection (Q)
|
97% |
4678
55.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
19837
152.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17827
137.3 IPS |
|
|
Depth Estimation (Q)
|
74% |
13926
113.2 IPS |
|
|
Style Transfer (SP)
|
100% |
107672
138.4 IPS |
|
|
Style Transfer (HP)
|
100% |
60169
77.3 IPS |
|
|
Style Transfer (Q)
|
98% |
78391
101.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17387
642.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14426
532.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10622
393.3 IPS |
|
|
Text Classification (SP)
|
100% |
1476
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
2057
2.75 KIPS |
|
|
Text Classification (Q)
|
97% |
958
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2636
45.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2645
45.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1123
25.1 IPS |
