iPad15,7
Geekbench AI Score
3602
Single Precision Score
6314
Half Precision Score
5114
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 02 2025 02:24 AM |
| Views | 2 |
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% |
1390
258.6 IPS |
|
|
Image Classification (HP)
|
100% |
2631
489.2 IPS |
|
|
Image Classification (Q)
|
96% |
1812
338.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1539
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2675
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6691
7.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
15048
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12630
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.9 IPS |
|
|
Object Detection (HP)
|
97% |
2950
234.8 IPS |
|
|
Object Detection (Q)
|
94% |
2118
168.8 IPS |
|
|
Face Detection (SP)
|
100% |
3337
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
6177
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
3521
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6153
47.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11760
90.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8133
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18517
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
30051
38.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24675
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4044
149.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5287
195.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3873
143.0 IPS |
|
|
Text Classification (SP)
|
100% |
2848
3.80 KIPS |
|
|
Text Classification (HP)
|
99% |
4928
6.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4810
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3736
64.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7123
123.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7180
124.1 IPS |
