iPad15,7
Geekbench AI Score
3592
Single Precision Score
6292
Half Precision Score
5111
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 01 2025 03:02 AM |
| Views | 6 |
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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1452
270.1 IPS |
|
|
Image Classification (HP)
|
100% |
2636
490.2 IPS |
|
|
Image Classification (Q)
|
96% |
1814
338.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1465
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2113
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2674
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6650
7.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
14973
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12566
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
97% |
2940
234.0 IPS |
|
|
Object Detection (Q)
|
94% |
2114
168.5 IPS |
|
|
Face Detection (SP)
|
100% |
3340
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
6169
73.3 IPS |
|
|
Face Detection (Q)
|
100% |
3519
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6156
47.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11735
90.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8183
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18548
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29864
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24737
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3980
147.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5355
197.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3904
144.2 IPS |
|
|
Text Classification (SP)
|
100% |
2823
3.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4829
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4813
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3732
64.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7104
122.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7056
121.9 IPS |
