iPad15,7
Geekbench AI Score
3434
Single Precision Score
22739
Half Precision Score
25979
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 12 2025 03:06 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1332
247.8 IPS |
|
|
Image Classification (HP)
|
100% |
9354
1.74 KIPS |
|
|
Image Classification (Q)
|
97% |
10692
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1378
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16246
263.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19084
309.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6406
7.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
95125
111.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
102801
120.5 IPS |
|
|
Object Detection (SP)
|
100% |
1484
117.7 IPS |
|
|
Object Detection (HP)
|
100% |
12306
976.1 IPS |
|
|
Object Detection (Q)
|
91% |
14080
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3171
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
28936
343.8 IPS |
|
|
Face Detection (Q)
|
100% |
41004
487.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5921
45.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
72784
560.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
89603
700.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18696
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
172782
222.1 IPS |
|
|
Style Transfer (Q)
|
96% |
170998
220.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3861
142.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32545
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34788
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2783
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2471
3.30 KIPS |
|
|
Text Classification (Q)
|
93% |
2614
3.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3474
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7100
122.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8299
143.4 IPS |
