iPad15,7
Geekbench AI Score
3631
Single Precision Score
6330
Half Precision Score
5134
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 04 2025 03:29 AM |
| 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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1458
271.1 IPS |
|
|
Image Classification (HP)
|
100% |
2634
489.9 IPS |
|
|
Image Classification (Q)
|
96% |
1811
338.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2678
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6838
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
15271
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12914
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
97% |
2971
236.6 IPS |
|
|
Object Detection (Q)
|
94% |
2117
168.7 IPS |
|
|
Face Detection (SP)
|
100% |
3351
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
6157
73.2 IPS |
|
|
Face Detection (Q)
|
100% |
3520
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6192
47.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11722
90.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8144
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18672
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29882
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24881
32.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4179
154.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5483
202.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3971
146.6 IPS |
|
|
Text Classification (SP)
|
100% |
2866
3.82 KIPS |
|
|
Text Classification (HP)
|
99% |
4804
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4730
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3730
64.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7206
124.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7170
123.9 IPS |
