iPad16,6
Geekbench AI Score
4719
Single Precision Score
7788
Half Precision Score
6357
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 09:38 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.39 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1978
367.9 IPS |
|
|
Image Classification (HP)
|
100% |
3303
614.2 IPS |
|
|
Image Classification (Q)
|
96% |
2305
430.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2141
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3320
53.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3618
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10073
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19123
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16490
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2218
175.9 IPS |
|
|
Object Detection (HP)
|
97% |
3793
302.0 IPS |
|
|
Object Detection (Q)
|
94% |
2700
215.2 IPS |
|
|
Face Detection (SP)
|
100% |
3933
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
7618
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
4429
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8286
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14635
113.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10170
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25022
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37957
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31445
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5870
216.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6861
253.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4835
178.5 IPS |
|
|
Text Classification (SP)
|
100% |
2948
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5145
6.87 KIPS |
|
|
Text Classification (Q)
|
93% |
6105
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4109
70.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6912
119.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6946
120.0 IPS |
