iPad15,7
Geekbench AI Score
3465
Single Precision Score
6287
Half Precision Score
5128
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 02:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2605
484.4 IPS |
|
|
Image Classification (Q)
|
96% |
1813
338.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1416
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2677
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6561
7.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
15389
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13089
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1480
117.4 IPS |
|
|
Object Detection (HP)
|
97% |
2966
236.1 IPS |
|
|
Object Detection (Q)
|
94% |
2121
169.1 IPS |
|
|
Face Detection (SP)
|
100% |
3204
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
6161
73.2 IPS |
|
|
Face Detection (Q)
|
100% |
3540
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5993
46.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11887
91.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8171
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18790
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29197
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24320
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3882
143.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5157
190.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3916
144.6 IPS |
|
|
Text Classification (SP)
|
100% |
2761
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4875
6.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4798
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3439
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7158
123.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7070
122.2 IPS |
