iPad15,7
Geekbench AI Score
3610
Single Precision Score
21810
Half Precision Score
25222
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 04 2025 07:22 PM |
| Views | 4 |
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% |
1411
262.3 IPS |
|
|
Image Classification (HP)
|
100% |
8995
1.67 KIPS |
|
|
Image Classification (Q)
|
97% |
11008
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1475
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13765
223.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19088
309.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6731
7.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
95505
111.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
102176
119.8 IPS |
|
|
Object Detection (SP)
|
100% |
1603
127.2 IPS |
|
|
Object Detection (HP)
|
100% |
12409
984.3 IPS |
|
|
Object Detection (Q)
|
91% |
14407
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3354
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
30969
368.0 IPS |
|
|
Face Detection (Q)
|
100% |
39639
471.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6193
47.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
71424
550.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
88766
694.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18857
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
170406
219.1 IPS |
|
|
Style Transfer (Q)
|
96% |
172372
222.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4040
149.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32712
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35207
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2822
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1893
2.53 KIPS |
|
|
Text Classification (Q)
|
93% |
1890
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3751
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7113
122.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8347
144.2 IPS |
