iPad15,7
Geekbench AI Score
3379
Single Precision Score
6236
Half Precision Score
5091
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 06:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1352
251.4 IPS |
|
|
Image Classification (HP)
|
100% |
2653
493.3 IPS |
|
|
Image Classification (Q)
|
96% |
1820
340.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1396
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2102
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2670
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6165
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
14767
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12575
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1451
115.1 IPS |
|
|
Object Detection (HP)
|
97% |
2945
234.5 IPS |
|
|
Object Detection (Q)
|
94% |
2115
168.6 IPS |
|
|
Face Detection (SP)
|
100% |
3170
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6207
73.7 IPS |
|
|
Face Detection (Q)
|
100% |
3541
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5786
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11623
89.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8120
63.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17802
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29100
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24102
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3761
138.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5161
190.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3899
144.0 IPS |
|
|
Text Classification (SP)
|
100% |
2761
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4807
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4781
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3394
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7047
121.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7019
121.3 IPS |
