iPad15,7
Geekbench AI Score
2832
Single Precision Score
3186
Half Precision Score
3127
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 18 2025 02:36 AM |
| Views | 2 |
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% |
529
98.4 IPS |
|
|
Image Classification (HP)
|
100% |
834
155.1 IPS |
|
|
Image Classification (Q)
|
96% |
856
159.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2382
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2361
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2323
37.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9508
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10194
11.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
9585
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
996
79.0 IPS |
|
|
Object Detection (HP)
|
100% |
913
72.4 IPS |
|
|
Object Detection (Q)
|
92% |
893
71.3 IPS |
|
|
Face Detection (SP)
|
100% |
3542
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
3853
45.8 IPS |
|
|
Face Detection (Q)
|
100% |
4317
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7205
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7796
60.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6485
50.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17488
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19371
24.9 IPS |
|
|
Style Transfer (Q)
|
96% |
18958
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2804
103.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2839
104.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2534
93.6 IPS |
|
|
Text Classification (SP)
|
100% |
2810
3.75 KIPS |
|
|
Text Classification (HP)
|
99% |
4835
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4700
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
737
12.7 IPS |
|
|
Machine Translation (Q)
|
98% |
832
14.4 IPS |
