iPad15,7
Geekbench AI Score
2855
Single Precision Score
3234
Half Precision Score
3055
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 22 2025 01:59 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
543
101.0 IPS |
|
|
Image Classification (HP)
|
100% |
835
155.3 IPS |
|
|
Image Classification (Q)
|
96% |
881
164.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2396
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2290
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2356
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9375
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10319
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9683
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
930
73.8 IPS |
|
|
Object Detection (HP)
|
100% |
979
77.7 IPS |
|
|
Object Detection (Q)
|
92% |
718
57.3 IPS |
|
|
Face Detection (SP)
|
100% |
4715
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
5135
61.0 IPS |
|
|
Face Detection (Q)
|
100% |
4374
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7248
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6416
49.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
6028
47.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17548
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19638
25.2 IPS |
|
|
Style Transfer (Q)
|
96% |
19165
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2743
101.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2872
106.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2521
93.1 IPS |
|
|
Text Classification (SP)
|
100% |
2795
3.73 KIPS |
|
|
Text Classification (HP)
|
99% |
4816
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4717
6.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
726
12.5 IPS |
|
|
Machine Translation (Q)
|
98% |
817
14.1 IPS |
