iPad15,7
Geekbench AI Score
3632
Single Precision Score
21693
Half Precision Score
24816
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 27 2025 02:37 PM |
| Views | 5 |
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% |
1449
269.4 IPS |
|
|
Image Classification (HP)
|
100% |
9013
1.68 KIPS |
|
|
Image Classification (Q)
|
97% |
10308
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1472
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13725
222.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19256
312.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6852
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
95505
111.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
102359
120.0 IPS |
|
|
Object Detection (SP)
|
100% |
1606
127.4 IPS |
|
|
Object Detection (HP)
|
100% |
12316
976.9 IPS |
|
|
Object Detection (Q)
|
91% |
14558
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3296
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
30814
366.1 IPS |
|
|
Face Detection (Q)
|
100% |
38976
463.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6190
47.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
71419
550.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
90524
707.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19169
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
169980
218.5 IPS |
|
|
Style Transfer (Q)
|
96% |
172474
222.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4085
150.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32656
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35304
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2840
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
1834
2.45 KIPS |
|
|
Text Classification (Q)
|
93% |
1698
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3757
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7082
122.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8211
141.9 IPS |
