iPad15,7
Geekbench AI Score
3592
Single Precision Score
6286
Half Precision Score
5146
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 19 2025 06:20 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1391
258.7 IPS |
|
|
Image Classification (HP)
|
100% |
2630
489.2 IPS |
|
|
Image Classification (Q)
|
96% |
1815
338.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1478
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2681
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6786
7.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
15112
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12810
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.6 IPS |
|
|
Object Detection (HP)
|
97% |
2957
235.4 IPS |
|
|
Object Detection (Q)
|
94% |
2117
168.7 IPS |
|
|
Face Detection (SP)
|
100% |
3367
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
6184
73.5 IPS |
|
|
Face Detection (Q)
|
100% |
3526
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6054
46.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11760
90.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8155
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18683
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29905
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24780
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4041
149.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5146
190.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3934
145.3 IPS |
|
|
Text Classification (SP)
|
100% |
2826
3.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4863
6.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4905
6.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3728
64.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7125
123.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7189
124.2 IPS |
