iPad15,7
Geekbench AI Score
3131
Single Precision Score
3138
Half Precision Score
2928
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 16 2025 05:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1095
203.7 IPS |
|
|
Image Classification (HP)
|
100% |
510
94.9 IPS |
|
|
Image Classification (Q)
|
94% |
460
86.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2333
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2237
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9506
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10364
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9980
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1059
84.0 IPS |
|
|
Object Detection (HP)
|
100% |
1085
86.1 IPS |
|
|
Object Detection (Q)
|
90% |
951
76.1 IPS |
|
|
Face Detection (SP)
|
100% |
5148
61.2 IPS |
|
|
Face Detection (HP)
|
100% |
5302
63.0 IPS |
|
|
Face Detection (Q)
|
100% |
4144
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6781
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6091
46.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6240
48.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17512
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19321
24.8 IPS |
|
|
Style Transfer (Q)
|
96% |
19287
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2805
103.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2982
110.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2591
95.7 IPS |
|
|
Text Classification (SP)
|
100% |
2698
3.60 KIPS |
|
|
Text Classification (HP)
|
99% |
4614
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4568
6.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
763
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
799
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
806
13.9 IPS |
