iPad15,7
Geekbench AI Score
3443
Single Precision Score
22741
Half Precision Score
26312
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 22 2025 11:49 AM |
| Views | 2 |
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 | 3.45 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
249.7 IPS |
|
|
Image Classification (HP)
|
100% |
9797
1.82 KIPS |
|
|
Image Classification (Q)
|
97% |
11809
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1411
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14246
230.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19254
312.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6413
7.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
97798
114.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
102057
119.6 IPS |
|
|
Object Detection (SP)
|
100% |
1493
118.4 IPS |
|
|
Object Detection (HP)
|
100% |
12539
994.6 IPS |
|
|
Object Detection (Q)
|
91% |
14103
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3236
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
30261
359.6 IPS |
|
|
Face Detection (Q)
|
100% |
40118
476.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5853
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
71772
553.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
91868
718.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18730
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
175374
225.4 IPS |
|
|
Style Transfer (Q)
|
96% |
173978
224.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3843
141.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33136
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36039
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
2776
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2391
3.19 KIPS |
|
|
Text Classification (Q)
|
93% |
2569
3.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3412
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7162
123.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8188
141.5 IPS |
