iPad15,7
Geekbench AI Score
3086
Single Precision Score
3279
Half Precision Score
3151
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 07 2025 02:52 AM |
| Views | 2 |
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% |
1118
208.0 IPS |
|
|
Image Classification (HP)
|
100% |
976
181.5 IPS |
|
|
Image Classification (Q)
|
96% |
903
168.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2321
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2375
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2268
36.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9515
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10311
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
10038
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1142
90.6 IPS |
|
|
Object Detection (HP)
|
100% |
1045
82.9 IPS |
|
|
Object Detection (Q)
|
92% |
961
76.7 IPS |
|
|
Face Detection (SP)
|
100% |
3637
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
5063
60.2 IPS |
|
|
Face Detection (Q)
|
100% |
4201
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6796
52.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6400
49.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
6183
48.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17518
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19496
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19233
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2940
108.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2300
84.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2766
102.1 IPS |
|
|
Text Classification (SP)
|
100% |
2793
3.73 KIPS |
|
|
Text Classification (HP)
|
99% |
4824
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4777
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
822
14.2 IPS |
|
|
Machine Translation (Q)
|
98% |
741
12.8 IPS |
