iPad16,2
Geekbench AI Score
4345
Single Precision Score
4706
Half Precision Score
4434
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 10:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1391
258.7 IPS |
|
|
Image Classification (HP)
|
100% |
1455
270.5 IPS |
|
|
Image Classification (Q)
|
97% |
1039
193.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3034
49.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3435
55.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3418
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12044
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12573
14.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11763
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
2042
162.0 IPS |
|
|
Object Detection (HP)
|
100% |
1737
137.8 IPS |
|
|
Object Detection (Q)
|
91% |
1615
129.1 IPS |
|
|
Face Detection (SP)
|
100% |
4584
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
5377
63.9 IPS |
|
|
Face Detection (Q)
|
100% |
5428
64.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9950
76.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
10445
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9055
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25708
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28442
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27021
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5294
195.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4295
158.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4303
158.9 IPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5528
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5499
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1162
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1288
22.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1388
24.0 IPS |
