iPad15,7
Geekbench AI Score
3413
Single Precision Score
22980
Half Precision Score
26066
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 07 2025 01:59 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1353
251.6 IPS |
|
|
Image Classification (HP)
|
100% |
8668
1.61 KIPS |
|
|
Image Classification (Q)
|
97% |
10649
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15988
259.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19244
312.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6188
7.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
95742
111.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
102111
119.7 IPS |
|
|
Object Detection (SP)
|
100% |
1473
116.8 IPS |
|
|
Object Detection (HP)
|
100% |
12579
997.8 IPS |
|
|
Object Detection (Q)
|
91% |
14197
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3188
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
31701
376.7 IPS |
|
|
Face Detection (Q)
|
100% |
40497
481.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5886
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
71659
552.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
91372
714.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18019
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
173095
222.5 IPS |
|
|
Style Transfer (Q)
|
96% |
171441
221.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3866
142.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32124
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35348
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2777
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2732
3.65 KIPS |
|
|
Text Classification (Q)
|
93% |
2602
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3427
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7133
122.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8356
144.4 IPS |
