iPad15,7
Geekbench AI Score
3413
Single Precision Score
6226
Half Precision Score
5096
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 01:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1314
244.4 IPS |
|
|
Image Classification (HP)
|
100% |
2612
485.7 IPS |
|
|
Image Classification (Q)
|
96% |
1815
338.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1407
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2675
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6291
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
14762
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12623
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1469
116.6 IPS |
|
|
Object Detection (HP)
|
97% |
2952
235.0 IPS |
|
|
Object Detection (Q)
|
94% |
2111
168.3 IPS |
|
|
Face Detection (SP)
|
100% |
3268
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
6132
72.9 IPS |
|
|
Face Detection (Q)
|
100% |
3511
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5976
46.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11676
90.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8129
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18145
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29124
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24250
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3777
139.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5079
187.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3912
144.5 IPS |
|
|
Text Classification (SP)
|
100% |
2775
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4809
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4763
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3387
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7124
123.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7089
122.5 IPS |
