iPad15,7
Geekbench AI Score
3417
Single Precision Score
6234
Half Precision Score
5098
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 11 2025 03:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1364
253.7 IPS |
|
|
Image Classification (HP)
|
100% |
2612
485.7 IPS |
|
|
Image Classification (Q)
|
96% |
1812
338.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1406
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2674
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6260
7.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
14789
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12497
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1467
116.3 IPS |
|
|
Object Detection (HP)
|
97% |
2945
234.5 IPS |
|
|
Object Detection (Q)
|
94% |
2112
168.4 IPS |
|
|
Face Detection (SP)
|
100% |
3247
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
6131
72.8 IPS |
|
|
Face Detection (Q)
|
100% |
3505
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5847
45.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11708
90.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8127
63.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18085
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29154
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24240
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3819
141.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5135
189.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3927
145.0 IPS |
|
|
Text Classification (SP)
|
100% |
2763
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4821
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4849
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3405
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7109
122.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7063
122.1 IPS |
