Default string Default string
Geekbench AI Score
13139
Single Precision Score
20657
Half Precision Score
11076
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | herman_han |
| Upload Date | December 11 2024 04:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4961
922.5 IPS |
|
|
Image Classification (HP)
|
100% |
9624
1.79 KIPS |
|
|
Image Classification (Q)
|
99% |
4780
891.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
8960
145.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11463
185.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8230
133.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
73813
86.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
176273
205.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
69050
80.9 IPS |
|
|
Object Detection (SP)
|
100% |
5840
463.3 IPS |
|
|
Object Detection (HP)
|
100% |
11920
945.5 IPS |
|
|
Object Detection (Q)
|
84% |
6180
498.4 IPS |
|
|
Face Detection (SP)
|
100% |
16437
195.3 IPS |
|
|
Face Detection (HP)
|
100% |
25298
300.6 IPS |
|
|
Face Detection (Q)
|
97% |
15262
182.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
31651
243.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
71614
553.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
28396
227.2 IPS |
|
|
Style Transfer (SP)
|
100% |
121422
156.1 IPS |
|
|
Style Transfer (HP)
|
100% |
271628
349.2 IPS |
|
|
Style Transfer (Q)
|
98% |
101988
131.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22591
834.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37709
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17112
633.6 IPS |
|
|
Text Classification (SP)
|
100% |
2107
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2310
3.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1475
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2663
45.9 IPS |
|
|
Machine Translation (HP)
|
97% |
1424
24.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1484
27.8 IPS |
