iPad15,7
Geekbench AI Score
3385
Single Precision Score
6241
Half Precision Score
5114
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 16 2025 02:09 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1354
251.9 IPS |
|
|
Image Classification (HP)
|
100% |
2655
493.7 IPS |
|
|
Image Classification (Q)
|
96% |
1827
341.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1409
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2681
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6125
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
14715
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12446
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1439
114.1 IPS |
|
|
Object Detection (HP)
|
97% |
2960
235.6 IPS |
|
|
Object Detection (Q)
|
94% |
2122
169.1 IPS |
|
|
Face Detection (SP)
|
100% |
3139
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6247
74.2 IPS |
|
|
Face Detection (Q)
|
100% |
3559
42.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5859
45.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11795
91.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8214
64.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17702
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28923
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24073
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3792
140.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5096
188.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3900
144.0 IPS |
|
|
Text Classification (SP)
|
100% |
2773
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4792
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4871
6.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3438
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7107
122.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7083
122.4 IPS |
