iPad15,7
Geekbench AI Score
2860
Single Precision Score
3356
Half Precision Score
3134
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 06:31 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
523
97.3 IPS |
|
|
Image Classification (HP)
|
100% |
981
182.4 IPS |
|
|
Image Classification (Q)
|
96% |
892
166.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2382
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2367
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2329
37.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9426
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10352
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9738
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
989
78.4 IPS |
|
|
Object Detection (HP)
|
100% |
982
77.9 IPS |
|
|
Object Detection (Q)
|
92% |
932
74.4 IPS |
|
|
Face Detection (SP)
|
100% |
4796
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
5011
59.5 IPS |
|
|
Face Detection (Q)
|
100% |
4297
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7206
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7770
59.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
5986
46.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17574
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19583
25.2 IPS |
|
|
Style Transfer (Q)
|
96% |
18965
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2719
100.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2828
104.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2467
91.1 IPS |
|
|
Text Classification (SP)
|
100% |
2766
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4735
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4819
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
692
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
754
13.0 IPS |
|
|
Machine Translation (Q)
|
98% |
837
14.5 IPS |
