iPad16,2
Geekbench AI Score
3949
Single Precision Score
23946
Half Precision Score
33379
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 03:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1617
300.6 IPS |
|
|
Image Classification (HP)
|
100% |
9133
1.70 KIPS |
|
|
Image Classification (Q)
|
97% |
12058
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1597
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16652
269.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21787
353.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7893
9.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
105056
122.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
196463
230.3 IPS |
|
|
Object Detection (SP)
|
100% |
1703
135.1 IPS |
|
|
Object Detection (HP)
|
100% |
11279
894.7 IPS |
|
|
Object Detection (Q)
|
91% |
16605
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
3322
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
34624
411.4 IPS |
|
|
Face Detection (Q)
|
100% |
49344
586.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6985
53.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
62461
481.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
96656
755.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21487
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
196673
252.8 IPS |
|
|
Style Transfer (Q)
|
96% |
233499
301.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4797
177.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26484
977.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
47330
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
3251
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5558
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5492
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3418
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5496
94.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6921
119.6 IPS |
