iPad15,7
Geekbench AI Score
3472
Single Precision Score
21909
Half Precision Score
24586
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 22 2025 02:01 AM |
| Views | 7 |
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% |
1362
253.2 IPS |
|
|
Image Classification (HP)
|
100% |
9000
1.67 KIPS |
|
|
Image Classification (Q)
|
97% |
10929
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1412
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14279
231.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19144
310.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6589
7.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
98804
115.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
102365
120.0 IPS |
|
|
Object Detection (SP)
|
100% |
1495
118.5 IPS |
|
|
Object Detection (HP)
|
100% |
12361
980.5 IPS |
|
|
Object Detection (Q)
|
91% |
14210
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3288
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
28902
343.4 IPS |
|
|
Face Detection (Q)
|
100% |
35364
420.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5922
45.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
71929
554.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
91137
712.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18856
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
169799
218.3 IPS |
|
|
Style Transfer (Q)
|
96% |
171203
220.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3881
143.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32583
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34698
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2773
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1968
2.63 KIPS |
|
|
Text Classification (Q)
|
93% |
1657
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3409
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7173
123.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8359
144.5 IPS |
