Generic
Geekbench AI Score
4692
Single Precision Score
4559
Half Precision Score
3468
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 12 2025 03:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1060 3GB |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B365M-ITX/ac |
| Power Plan | Power saver |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1040
193.4 IPS |
|
|
Image Classification (HP)
|
100% |
1928
358.6 IPS |
|
|
Image Classification (Q)
|
99% |
986
184.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3005
48.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2412
39.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2312
37.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
33746
39.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16871
19.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
26091
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
1452
115.1 IPS |
|
|
Object Detection (HP)
|
100% |
2280
180.9 IPS |
|
|
Object Detection (Q)
|
83% |
1320
106.7 IPS |
|
|
Face Detection (SP)
|
100% |
3109
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
4407
52.4 IPS |
|
|
Face Detection (Q)
|
97% |
2616
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9968
76.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9231
71.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
8117
64.8 IPS |
|
|
Style Transfer (SP)
|
100% |
50926
65.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30643
39.4 IPS |
|
|
Style Transfer (Q)
|
98% |
38757
50.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10551
389.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7661
282.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6190
229.2 IPS |
|
|
Text Classification (SP)
|
100% |
1302
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1556
2.08 KIPS |
|
|
Text Classification (Q)
|
97% |
763
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1558
26.8 IPS |
|
|
Machine Translation (HP)
|
96% |
1460
25.2 IPS |
|
|
Machine Translation (Q)
|
70% |
827
15.5 IPS |
