iPad16,6
Geekbench AI Score
4702
Single Precision Score
7794
Half Precision Score
6771
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | JESierra |
| Upload Date | August 15 2024 05:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 3.96 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2000
371.9 IPS |
|
|
Image Classification (HP)
|
100% |
3398
632.0 IPS |
|
|
Image Classification (Q)
|
99% |
3394
633.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3322
53.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
3315
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9993
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19039
22.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
16287
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2212
175.5 IPS |
|
|
Object Detection (HP)
|
97% |
3796
302.2 IPS |
|
|
Object Detection (Q)
|
94% |
2698
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
3954
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
7655
91.0 IPS |
|
|
Face Detection (Q)
|
100% |
4422
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8292
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14583
112.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
14671
113.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24963
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37740
48.5 IPS |
|
|
Style Transfer (Q)
|
100% |
37803
48.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5805
214.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6883
254.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4795
177.6 IPS |
|
|
Text Classification (SP)
|
100% |
3026
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5137
6.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5110
6.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3911
67.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6815
117.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6825
117.9 IPS |
