Generic
Geekbench AI Score
8336
Single Precision Score
8450
Half Precision Score
5922
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | monopuerco |
| Upload Date | August 15 2024 11:14 PM |
| Views | 6 |
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% |
2200
409.1 IPS |
|
|
Image Classification (HP)
|
100% |
3484
647.8 IPS |
|
|
Image Classification (Q)
|
100% |
1921
357.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5237
84.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5303
86.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4349
70.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
66198
77.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
33962
39.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
51379
60.2 IPS |
|
|
Object Detection (SP)
|
100% |
2927
232.2 IPS |
|
|
Object Detection (HP)
|
100% |
4556
361.4 IPS |
|
|
Object Detection (Q)
|
89% |
2389
191.2 IPS |
|
|
Face Detection (SP)
|
100% |
5528
65.7 IPS |
|
|
Face Detection (HP)
|
100% |
8654
102.8 IPS |
|
|
Face Detection (Q)
|
97% |
4536
54.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19355
149.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17609
135.7 IPS |
|
|
Depth Estimation (Q)
|
74% |
13884
112.9 IPS |
|
|
Style Transfer (SP)
|
100% |
105910
136.1 IPS |
|
|
Style Transfer (HP)
|
100% |
58275
74.9 IPS |
|
|
Style Transfer (Q)
|
98% |
78486
101.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17141
632.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14135
521.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10267
380.2 IPS |
|
|
Text Classification (SP)
|
100% |
1433
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
1983
2.65 KIPS |
|
|
Text Classification (Q)
|
97% |
951
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2609
44.9 IPS |
|
|
Machine Translation (HP)
|
96% |
2610
45.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1073
23.9 IPS |
