iPad15,7
Geekbench AI Score
3405
Single Precision Score
22933
Half Precision Score
26057
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 24 2025 07:09 PM |
| 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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1344
250.0 IPS |
|
|
Image Classification (HP)
|
100% |
9822
1.83 KIPS |
|
|
Image Classification (Q)
|
97% |
11025
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1403
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15879
257.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19325
313.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6190
7.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
96410
112.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
102219
119.8 IPS |
|
|
Object Detection (SP)
|
100% |
1482
117.5 IPS |
|
|
Object Detection (HP)
|
100% |
12450
987.6 IPS |
|
|
Object Detection (Q)
|
91% |
14906
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3159
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
30067
357.3 IPS |
|
|
Face Detection (Q)
|
100% |
38211
454.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5853
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
73314
564.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
89786
702.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18117
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
175255
225.3 IPS |
|
|
Style Transfer (Q)
|
96% |
172772
223.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3850
142.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33175
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35522
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2767
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2344
3.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2547
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3402
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7157
123.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8290
143.3 IPS |
