iPad15,7
Geekbench AI Score
3522
Single Precision Score
6151
Half Precision Score
5027
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 12 2025 02:10 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1456
270.7 IPS |
|
|
Image Classification (HP)
|
100% |
2643
491.5 IPS |
|
|
Image Classification (Q)
|
96% |
1824
340.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1464
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2084
33.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2641
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6374
7.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
14467
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12215
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
97% |
2884
229.6 IPS |
|
|
Object Detection (Q)
|
94% |
2079
165.7 IPS |
|
|
Face Detection (SP)
|
100% |
3303
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
6001
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
3470
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5862
45.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11661
90.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8132
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17912
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29347
37.7 IPS |
|
|
Style Transfer (Q)
|
96% |
24059
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3986
147.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5081
187.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3878
143.2 IPS |
|
|
Text Classification (SP)
|
100% |
2747
3.67 KIPS |
|
|
Text Classification (HP)
|
99% |
4581
6.11 KIPS |
|
|
Text Classification (Q)
|
93% |
4580
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3685
63.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7061
122.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6991
120.8 IPS |
