iPad15,7
Geekbench AI Score
3443
Single Precision Score
22416
Half Precision Score
25664
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 18 2025 02:53 AM |
| Views | 2 |
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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1342
249.5 IPS |
|
|
Image Classification (HP)
|
100% |
9066
1.69 KIPS |
|
|
Image Classification (Q)
|
97% |
10713
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1413
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13791
223.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19100
309.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6249
7.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
97105
113.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
103435
121.2 IPS |
|
|
Object Detection (SP)
|
100% |
1478
117.2 IPS |
|
|
Object Detection (HP)
|
100% |
12352
979.8 IPS |
|
|
Object Detection (Q)
|
91% |
14625
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3277
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
30554
363.0 IPS |
|
|
Face Detection (Q)
|
100% |
39186
465.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5986
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
71698
552.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
91495
715.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18295
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
172448
221.7 IPS |
|
|
Style Transfer (Q)
|
96% |
174876
225.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3834
141.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33265
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34745
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2795
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2383
3.18 KIPS |
|
|
Text Classification (Q)
|
93% |
2252
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3482
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7133
122.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8165
141.1 IPS |
