Generic
Geekbench AI Score
8667
Single Precision Score
8564
Half Precision Score
6178
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | monopuerco |
| Upload Date | August 15 2024 11:16 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% |
2370
440.8 IPS |
|
|
Image Classification (HP)
|
100% |
3495
649.9 IPS |
|
|
Image Classification (Q)
|
100% |
1934
359.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5460
88.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5412
87.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4491
73.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
68402
79.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
34663
40.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
54300
63.6 IPS |
|
|
Object Detection (SP)
|
100% |
2960
234.8 IPS |
|
|
Object Detection (HP)
|
100% |
4667
370.2 IPS |
|
|
Object Detection (Q)
|
89% |
2563
205.2 IPS |
|
|
Face Detection (SP)
|
100% |
5718
67.9 IPS |
|
|
Face Detection (HP)
|
100% |
8493
100.9 IPS |
|
|
Face Detection (Q)
|
97% |
4877
58.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20097
154.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17975
138.5 IPS |
|
|
Depth Estimation (Q)
|
74% |
14464
117.6 IPS |
|
|
Style Transfer (SP)
|
100% |
109071
140.2 IPS |
|
|
Style Transfer (HP)
|
100% |
60239
77.4 IPS |
|
|
Style Transfer (Q)
|
98% |
81184
104.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18097
668.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14494
535.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10942
405.2 IPS |
|
|
Text Classification (SP)
|
100% |
1513
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
2039
2.72 KIPS |
|
|
Text Classification (Q)
|
97% |
969
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2660
45.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2553
44.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1105
24.6 IPS |
