iPad16,2
Geekbench AI Score
4036
Single Precision Score
25465
Half Precision Score
35588
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 10:45 PM |
| Views | 2 |
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 | 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% |
1740
323.6 IPS |
|
|
Image Classification (HP)
|
100% |
11319
2.10 KIPS |
|
|
Image Classification (Q)
|
97% |
15576
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1652
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15882
257.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21072
341.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7955
9.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
106846
124.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
204291
239.4 IPS |
|
|
Object Detection (SP)
|
100% |
1831
145.3 IPS |
|
|
Object Detection (HP)
|
100% |
13852
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18991
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3357
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
35656
423.7 IPS |
|
|
Face Detection (Q)
|
100% |
51175
608.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7091
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78133
602.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
128993
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
21443
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
204409
262.8 IPS |
|
|
Style Transfer (Q)
|
96% |
252183
325.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5067
187.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34571
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59368
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3208
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3496
4.67 KIPS |
|
|
Text Classification (Q)
|
93% |
3489
4.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3309
57.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6262
107.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7422
128.3 IPS |
