iPad15,7
Geekbench AI Score
2986
Single Precision Score
3381
Half Precision Score
2875
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 12 2025 02:29 AM |
| Views | 7 |
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% |
735
136.7 IPS |
|
|
Image Classification (HP)
|
100% |
997
185.3 IPS |
|
|
Image Classification (Q)
|
96% |
480
89.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2337
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2376
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2212
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9564
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10384
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10067
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1083
85.9 IPS |
|
|
Object Detection (HP)
|
100% |
1045
82.9 IPS |
|
|
Object Detection (Q)
|
92% |
954
76.2 IPS |
|
|
Face Detection (SP)
|
100% |
4721
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
5051
60.0 IPS |
|
|
Face Detection (Q)
|
100% |
3215
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6781
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6689
51.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6697
52.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17592
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19524
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18948
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2769
102.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2913
107.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2699
99.7 IPS |
|
|
Text Classification (SP)
|
100% |
2817
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4768
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4728
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
729
12.6 IPS |
