iPad15,7
Geekbench AI Score
3421
Single Precision Score
23365
Half Precision Score
26307
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 09 2025 01:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1308
243.3 IPS |
|
|
Image Classification (HP)
|
100% |
9517
1.77 KIPS |
|
|
Image Classification (Q)
|
97% |
11636
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1400
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16306
264.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19137
310.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6370
7.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
100978
117.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
103572
121.4 IPS |
|
|
Object Detection (SP)
|
100% |
1473
116.8 IPS |
|
|
Object Detection (HP)
|
100% |
12365
980.8 IPS |
|
|
Object Detection (Q)
|
91% |
14030
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3202
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
31324
372.2 IPS |
|
|
Face Detection (Q)
|
100% |
39935
474.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5883
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
72122
555.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
91047
711.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18766
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
168714
216.9 IPS |
|
|
Style Transfer (Q)
|
96% |
170724
220.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3871
142.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33704
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34836
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2738
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
2716
3.63 KIPS |
|
|
Text Classification (Q)
|
93% |
2765
3.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3412
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7175
123.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8208
141.8 IPS |
