iPad15,7
Geekbench AI Score
3011
Single Precision Score
3312
Half Precision Score
2872
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 25 2025 11:08 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
967
179.7 IPS |
|
|
Image Classification (HP)
|
100% |
861
160.1 IPS |
|
|
Image Classification (Q)
|
96% |
902
168.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2376
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2404
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2284
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9422
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10369
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9717
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1044
82.8 IPS |
|
|
Object Detection (HP)
|
100% |
931
73.9 IPS |
|
|
Object Detection (Q)
|
92% |
809
64.6 IPS |
|
|
Face Detection (SP)
|
100% |
3536
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
5209
61.9 IPS |
|
|
Face Detection (Q)
|
100% |
3638
43.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7621
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7813
60.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
6201
48.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17576
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19535
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18879
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2812
103.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2831
104.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1563
57.7 IPS |
|
|
Text Classification (SP)
|
100% |
2823
3.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4804
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4894
6.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
737
12.7 IPS |
|
|
Machine Translation (Q)
|
98% |
724
12.5 IPS |
