iPad16,5
Geekbench AI Score
4803
Single Precision Score
36525
Half Precision Score
52504
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 03:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1996
371.1 IPS |
|
|
Image Classification (HP)
|
100% |
17066
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
26878
5.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22017
356.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30500
494.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10030
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123687
144.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
233141
273.3 IPS |
|
|
Object Detection (SP)
|
100% |
2207
175.1 IPS |
|
|
Object Detection (HP)
|
100% |
18514
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
25703
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
3956
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
42892
509.7 IPS |
|
|
Face Detection (Q)
|
100% |
63493
754.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8280
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98835
761.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
170085
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25069
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233517
300.2 IPS |
|
|
Style Transfer (Q)
|
96% |
297986
384.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5939
219.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48712
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82289
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3554
4.74 KIPS |
|
|
Text Classification (HP)
|
100% |
6204
8.28 KIPS |
|
|
Text Classification (Q)
|
93% |
6721
9.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4061
70.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16418
282.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18210
314.7 IPS |
