iPad15,7
Geekbench AI Score
3428
Single Precision Score
6297
Half Precision Score
5120
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 17 2025 08:55 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% |
1351
251.2 IPS |
|
|
Image Classification (HP)
|
100% |
2593
482.2 IPS |
|
|
Image Classification (Q)
|
96% |
1808
337.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1401
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2677
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6518
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
15144
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12789
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1466
116.3 IPS |
|
|
Object Detection (HP)
|
97% |
2962
235.8 IPS |
|
|
Object Detection (Q)
|
94% |
2111
168.3 IPS |
|
|
Face Detection (SP)
|
100% |
3192
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6215
73.9 IPS |
|
|
Face Detection (Q)
|
100% |
3543
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5963
45.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11883
91.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8141
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18096
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29207
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24259
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3847
142.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5141
189.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3955
146.0 IPS |
|
|
Text Classification (SP)
|
100% |
2757
3.68 KIPS |
|
|
Text Classification (HP)
|
99% |
4849
6.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4841
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3395
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7417
128.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7078
122.3 IPS |
