iPad16,2
Geekbench AI Score
3661
Single Precision Score
24975
Half Precision Score
33465
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 01:08 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.06 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1642
305.4 IPS |
|
|
Image Classification (HP)
|
100% |
11458
2.13 KIPS |
|
|
Image Classification (Q)
|
97% |
15998
2.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1643
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15326
248.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
20783
336.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6405
7.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
93866
109.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
191116
224.0 IPS |
|
|
Object Detection (SP)
|
100% |
1611
127.8 IPS |
|
|
Object Detection (HP)
|
100% |
13411
1.06 KIPS |
|
|
Object Detection (Q)
|
91% |
18429
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
2980
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
34602
411.1 IPS |
|
|
Face Detection (Q)
|
100% |
52252
620.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6099
47.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78296
603.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
129442
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
18107
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
198109
254.7 IPS |
|
|
Style Transfer (Q)
|
96% |
253164
326.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4270
157.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35286
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58504
2.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3275
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
3286
4.39 KIPS |
|
|
Text Classification (Q)
|
93% |
1967
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3381
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6864
118.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7636
132.0 IPS |
