iPad15,7
Geekbench AI Score
3628
Single Precision Score
22723
Half Precision Score
24960
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 01 2025 03:06 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1451
269.8 IPS |
|
|
Image Classification (HP)
|
100% |
9496
1.77 KIPS |
|
|
Image Classification (Q)
|
97% |
10928
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1453
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16356
265.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19224
311.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6882
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
96336
112.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
102206
119.8 IPS |
|
|
Object Detection (SP)
|
100% |
1606
127.4 IPS |
|
|
Object Detection (HP)
|
100% |
12617
1.00 KIPS |
|
|
Object Detection (Q)
|
91% |
14270
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3359
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
30361
360.8 IPS |
|
|
Face Detection (Q)
|
100% |
37827
449.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6167
47.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
71831
553.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
89960
703.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19151
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
170017
218.6 IPS |
|
|
Style Transfer (Q)
|
96% |
172087
222.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4074
150.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32463
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35358
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2841
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (Q)
|
93% |
1788
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3699
63.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7065
121.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8276
143.0 IPS |
