iPad15,7
Geekbench AI Score
1556
Single Precision Score
1722
Half Precision Score
1630
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 18 2025 11:17 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
693
128.9 IPS |
|
|
Image Classification (HP)
|
100% |
788
146.5 IPS |
|
|
Image Classification (Q)
|
96% |
891
166.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2431
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2453
39.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2336
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9213
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10266
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9845
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1069
84.8 IPS |
|
|
Object Detection (HP)
|
100% |
1056
83.7 IPS |
|
|
Object Detection (Q)
|
92% |
966
77.1 IPS |
|
|
Face Detection (SP)
|
100% |
4878
58.0 IPS |
|
|
Face Detection (HP)
|
100% |
5137
61.0 IPS |
|
|
Face Detection (Q)
|
100% |
4379
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7630
58.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
7997
61.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
6652
52.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17540
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19513
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19064
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2767
102.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2847
105.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2542
93.9 IPS |
|
|
Text Classification (SP)
|
100% |
2790
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4797
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4765
6.40 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
5.88 IPS |
|
|
Machine Translation (HP)
|
0% |
0
6.32 IPS |
|
|
Machine Translation (Q)
|
0% |
0
5.93 IPS |
