iPad15,7
Geekbench AI Score
3429
Single Precision Score
6271
Half Precision Score
5109
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 18 2025 03:19 AM |
| Views | 4 |
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% |
1310
243.6 IPS |
|
|
Image Classification (HP)
|
100% |
2617
486.7 IPS |
|
|
Image Classification (Q)
|
96% |
1809
337.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1400
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2674
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6323
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
15088
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12780
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1463
116.1 IPS |
|
|
Object Detection (HP)
|
97% |
2952
235.0 IPS |
|
|
Object Detection (Q)
|
94% |
2115
168.6 IPS |
|
|
Face Detection (SP)
|
100% |
3290
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
6213
73.8 IPS |
|
|
Face Detection (Q)
|
100% |
3533
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5956
45.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11740
90.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8134
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18184
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29166
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24277
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3836
141.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5251
193.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3924
144.9 IPS |
|
|
Text Classification (SP)
|
100% |
2831
3.78 KIPS |
|
|
Text Classification (HP)
|
99% |
4827
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4793
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3429
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7096
122.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7074
122.3 IPS |
