iPad15,7
Geekbench AI Score
3574
Single Precision Score
6282
Half Precision Score
5134
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 26 2025 06:48 PM |
| Views | 4 |
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% |
1384
257.5 IPS |
|
|
Image Classification (HP)
|
100% |
2640
490.9 IPS |
|
|
Image Classification (Q)
|
96% |
1807
337.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1461
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2679
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6708
7.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
14889
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12753
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
97% |
2943
234.3 IPS |
|
|
Object Detection (Q)
|
94% |
2104
167.7 IPS |
|
|
Face Detection (SP)
|
100% |
3280
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
6165
73.3 IPS |
|
|
Face Detection (Q)
|
100% |
3524
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6159
47.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11765
90.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8244
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18498
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29859
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24716
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4070
150.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5131
189.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3917
144.6 IPS |
|
|
Text Classification (SP)
|
100% |
2819
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4881
6.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4877
6.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3737
64.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7206
124.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7151
123.6 IPS |
