iPad15,7
Geekbench AI Score
3650
Single Precision Score
22103
Half Precision Score
25456
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 31 2025 07:12 PM |
| Views | 7 |
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 | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1455
270.6 IPS |
|
|
Image Classification (HP)
|
100% |
9984
1.86 KIPS |
|
|
Image Classification (Q)
|
97% |
11101
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1492
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14059
227.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19375
314.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6915
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
97346
113.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
102171
119.8 IPS |
|
|
Object Detection (SP)
|
100% |
1599
126.8 IPS |
|
|
Object Detection (HP)
|
100% |
12333
978.3 IPS |
|
|
Object Detection (Q)
|
91% |
14033
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3365
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
30557
363.1 IPS |
|
|
Face Detection (Q)
|
100% |
39210
465.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6213
47.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
71881
553.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
90580
708.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19206
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
170845
219.6 IPS |
|
|
Style Transfer (Q)
|
96% |
170436
219.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4076
150.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33313
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35207
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2828
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
1869
2.49 KIPS |
|
|
Text Classification (Q)
|
93% |
2110
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3785
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7069
121.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8242
142.4 IPS |
