Generic
Geekbench AI Score
5376
Single Precision Score
5377
Half Precision Score
4141
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | F4T4L1TY |
| Upload Date | January 05 2025 06:21 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1060 6GB |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock H81M-VG4 R2.0 |
| Power Plan | Teljestmnycentrikus |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4440 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1334
248.1 IPS |
|
|
Image Classification (HP)
|
100% |
2360
438.8 IPS |
|
|
Image Classification (Q)
|
99% |
1216
226.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3027
49.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2849
46.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2605
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
37355
43.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
20868
24.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
30414
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
1845
146.4 IPS |
|
|
Object Detection (HP)
|
100% |
2840
225.3 IPS |
|
|
Object Detection (Q)
|
83% |
1632
131.9 IPS |
|
|
Face Detection (SP)
|
100% |
3590
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
5201
61.8 IPS |
|
|
Face Detection (Q)
|
97% |
3218
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12554
96.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
11643
90.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
9904
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
61193
78.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37699
48.5 IPS |
|
|
Style Transfer (Q)
|
98% |
48444
62.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11341
418.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8528
314.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7503
277.8 IPS |
|
|
Text Classification (SP)
|
100% |
1484
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
1704
2.27 KIPS |
|
|
Text Classification (Q)
|
97% |
874
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1562
26.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1529
26.4 IPS |
|
|
Machine Translation (Q)
|
70% |
932
17.5 IPS |
