iPad15,7
Geekbench AI Score
3428
Single Precision Score
22365
Half Precision Score
25915
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 03:26 AM |
| 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% |
1302
242.2 IPS |
|
|
Image Classification (HP)
|
100% |
8825
1.64 KIPS |
|
|
Image Classification (Q)
|
97% |
10689
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1415
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14448
234.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
17052
276.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6322
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
98600
115.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
102165
119.7 IPS |
|
|
Object Detection (SP)
|
100% |
1485
117.8 IPS |
|
|
Object Detection (HP)
|
100% |
12400
983.6 IPS |
|
|
Object Detection (Q)
|
91% |
14827
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3262
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
30323
360.3 IPS |
|
|
Face Detection (Q)
|
100% |
38096
452.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5982
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
72952
562.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
91001
711.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18450
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
172721
222.0 IPS |
|
|
Style Transfer (Q)
|
96% |
177426
229.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3823
141.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32448
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34704
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2764
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2266
3.03 KIPS |
|
|
Text Classification (Q)
|
93% |
2827
3.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3407
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7150
123.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8200
141.7 IPS |
