iPad15,7
Geekbench AI Score
3372
Single Precision Score
6212
Half Precision Score
5097
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 07 2025 01:53 AM |
| Views | 8 |
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% |
1312
244.0 IPS |
|
|
Image Classification (HP)
|
100% |
2651
493.0 IPS |
|
|
Image Classification (Q)
|
96% |
1829
341.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1400
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2669
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6106
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
14537
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12259
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1450
115.0 IPS |
|
|
Object Detection (HP)
|
97% |
2934
233.5 IPS |
|
|
Object Detection (Q)
|
94% |
2113
168.4 IPS |
|
|
Face Detection (SP)
|
100% |
3161
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6208
73.8 IPS |
|
|
Face Detection (Q)
|
100% |
3537
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5794
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11619
89.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8117
63.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17878
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28960
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24034
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3802
140.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5099
188.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3907
144.3 IPS |
|
|
Text Classification (SP)
|
100% |
2772
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4825
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4904
6.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3395
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7021
121.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7081
122.4 IPS |
