iPad15,7
Geekbench AI Score
3411
Single Precision Score
6239
Half Precision Score
5123
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 02:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1300
241.8 IPS |
|
|
Image Classification (HP)
|
100% |
2618
486.8 IPS |
|
|
Image Classification (Q)
|
96% |
1817
339.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1399
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2676
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6343
7.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
14960
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12897
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1483
117.6 IPS |
|
|
Object Detection (HP)
|
97% |
2950
234.8 IPS |
|
|
Object Detection (Q)
|
94% |
2109
168.1 IPS |
|
|
Face Detection (SP)
|
100% |
3192
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6203
73.7 IPS |
|
|
Face Detection (Q)
|
100% |
3539
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5896
45.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11671
90.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8137
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18260
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29160
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24223
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3841
141.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5104
188.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3926
145.0 IPS |
|
|
Text Classification (SP)
|
100% |
2766
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4779
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4832
6.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3415
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7131
123.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7124
123.1 IPS |
