Generic
Geekbench AI Score
8656
Single Precision Score
8665
Half Precision Score
6245
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | monopuerco |
| Upload Date | August 15 2024 09:06 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% |
2347
436.6 IPS |
|
|
Image Classification (HP)
|
100% |
3598
669.2 IPS |
|
|
Image Classification (Q)
|
100% |
1961
364.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5575
90.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5478
88.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4574
74.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
69794
81.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
35328
41.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
54461
63.8 IPS |
|
|
Object Detection (SP)
|
100% |
3004
238.3 IPS |
|
|
Object Detection (HP)
|
100% |
4688
371.9 IPS |
|
|
Object Detection (Q)
|
89% |
2501
200.2 IPS |
|
|
Face Detection (SP)
|
100% |
5824
69.2 IPS |
|
|
Face Detection (HP)
|
100% |
8623
102.5 IPS |
|
|
Face Detection (Q)
|
97% |
4771
56.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20083
154.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18221
140.4 IPS |
|
|
Depth Estimation (Q)
|
74% |
14986
121.8 IPS |
|
|
Style Transfer (SP)
|
100% |
109775
141.1 IPS |
|
|
Style Transfer (HP)
|
100% |
60314
77.5 IPS |
|
|
Style Transfer (Q)
|
98% |
83234
107.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18101
668.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14717
543.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11096
410.9 IPS |
|
|
Text Classification (SP)
|
100% |
1426
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2035
2.72 KIPS |
|
|
Text Classification (Q)
|
97% |
962
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2600
44.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2576
44.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1163
25.9 IPS |
