iPad16,2
Geekbench AI Score
4023
Single Precision Score
25724
Half Precision Score
35101
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | musarikhotso |
| Upload Date | September 04 2025 06:50 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1701
316.3 IPS |
|
|
Image Classification (HP)
|
100% |
10330
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
13305
2.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1649
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16678
270.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21286
345.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7901
9.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
105547
123.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
201996
236.8 IPS |
|
|
Object Detection (SP)
|
100% |
1791
142.1 IPS |
|
|
Object Detection (HP)
|
100% |
12033
954.4 IPS |
|
|
Object Detection (Q)
|
91% |
16145
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
3360
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
36296
431.3 IPS |
|
|
Face Detection (Q)
|
100% |
50471
599.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6927
53.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
71625
551.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
112705
881.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21487
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
201080
258.5 IPS |
|
|
Style Transfer (Q)
|
96% |
240384
310.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4961
183.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36326
1.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
61239
2.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3241
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5308
7.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5193
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3484
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5753
99.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7071
122.2 IPS |
