iPad15,7
Geekbench AI Score
3664
Single Precision Score
21872
Half Precision Score
25124
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 01 2025 12:32 PM |
| Views | 3 |
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% |
1454
270.4 IPS |
|
|
Image Classification (HP)
|
100% |
9032
1.68 KIPS |
|
|
Image Classification (Q)
|
97% |
11106
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1492
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13983
226.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19097
309.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7031
8.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
97378
113.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
102226
119.8 IPS |
|
|
Object Detection (SP)
|
100% |
1619
128.4 IPS |
|
|
Object Detection (HP)
|
100% |
12401
983.6 IPS |
|
|
Object Detection (Q)
|
91% |
14621
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3356
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
30304
360.1 IPS |
|
|
Face Detection (Q)
|
100% |
37603
446.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6243
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
72046
555.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
88959
695.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19325
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
173054
222.5 IPS |
|
|
Style Transfer (Q)
|
96% |
172010
222.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4110
151.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32562
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35852
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2847
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
1865
2.49 KIPS |
|
|
Text Classification (Q)
|
93% |
1865
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3732
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7162
123.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8218
142.0 IPS |
