iPad15,7
Geekbench AI Score
3634
Single Precision Score
21982
Half Precision Score
24981
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 12:59 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1443
268.4 IPS |
|
|
Image Classification (HP)
|
100% |
9329
1.73 KIPS |
|
|
Image Classification (Q)
|
97% |
10748
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1473
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14398
233.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19203
311.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6934
8.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
96273
112.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
102385
120.0 IPS |
|
|
Object Detection (SP)
|
100% |
1608
127.5 IPS |
|
|
Object Detection (HP)
|
100% |
12350
979.6 IPS |
|
|
Object Detection (Q)
|
91% |
14070
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3364
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
30602
363.6 IPS |
|
|
Face Detection (Q)
|
100% |
39132
465.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6195
47.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
71502
550.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
90354
706.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19139
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
172504
221.8 IPS |
|
|
Style Transfer (Q)
|
96% |
174159
224.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4082
150.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32529
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35445
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2824
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1898
2.53 KIPS |
|
|
Text Classification (Q)
|
93% |
1765
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3695
63.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7079
121.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8264
142.8 IPS |
