iPad15,7
Geekbench AI Score
3420
Single Precision Score
6312
Half Precision Score
5114
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% |
1365
253.8 IPS |
|
|
Image Classification (HP)
|
100% |
2650
492.8 IPS |
|
|
Image Classification (Q)
|
96% |
1819
339.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1464
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2189
35.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2680
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6190
7.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
14745
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12553
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1446
114.7 IPS |
|
|
Object Detection (HP)
|
97% |
2922
232.6 IPS |
|
|
Object Detection (Q)
|
94% |
2106
167.9 IPS |
|
|
Face Detection (SP)
|
100% |
3158
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6124
72.8 IPS |
|
|
Face Detection (Q)
|
100% |
3483
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5855
45.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11786
91.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8217
64.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17968
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29236
37.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24250
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3881
143.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5439
200.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3948
145.8 IPS |
|
|
Text Classification (SP)
|
100% |
2814
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4973
6.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4900
6.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3382
58.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7044
121.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7076
122.3 IPS |
