iPad15,7
Geekbench AI Score
3433
Single Precision Score
6257
Half Precision Score
5112
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 27 2025 03:19 AM |
| Views | 2 |
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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1357
252.4 IPS |
|
|
Image Classification (HP)
|
100% |
2618
486.8 IPS |
|
|
Image Classification (Q)
|
96% |
1823
340.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1407
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2675
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6362
7.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
15088
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12778
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1472
116.8 IPS |
|
|
Object Detection (HP)
|
97% |
2954
235.2 IPS |
|
|
Object Detection (Q)
|
94% |
2118
168.8 IPS |
|
|
Face Detection (SP)
|
100% |
3275
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
6202
73.7 IPS |
|
|
Face Detection (Q)
|
100% |
3549
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5975
46.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11716
90.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8142
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18224
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29151
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24287
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3796
140.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5094
188.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3908
144.3 IPS |
|
|
Text Classification (SP)
|
100% |
2745
3.66 KIPS |
|
|
Text Classification (HP)
|
99% |
4867
6.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4791
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3423
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7114
122.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7029
121.5 IPS |
