iPad15,7
Geekbench AI Score
3446
Single Precision Score
21861
Half Precision Score
24942
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 06:33 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1359
252.7 IPS |
|
|
Image Classification (HP)
|
100% |
9181
1.71 KIPS |
|
|
Image Classification (Q)
|
97% |
11648
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1419
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13471
218.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19234
311.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6313
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
95293
111.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
102571
120.2 IPS |
|
|
Object Detection (SP)
|
100% |
1481
117.5 IPS |
|
|
Object Detection (HP)
|
100% |
12303
975.9 IPS |
|
|
Object Detection (Q)
|
91% |
14486
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3236
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
31360
372.6 IPS |
|
|
Face Detection (Q)
|
100% |
39139
465.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5993
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
71453
550.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
89037
696.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18375
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
169690
218.1 IPS |
|
|
Style Transfer (Q)
|
96% |
171083
220.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3824
141.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32694
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34771
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2798
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
1961
2.62 KIPS |
|
|
Text Classification (Q)
|
93% |
1649
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3441
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7054
121.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8190
141.5 IPS |
