iPad15,7
Geekbench AI Score
3452
Single Precision Score
6280
Half Precision Score
5132
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 18 2025 03:19 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1354
251.7 IPS |
|
|
Image Classification (HP)
|
100% |
2643
491.6 IPS |
|
|
Image Classification (Q)
|
96% |
1824
340.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1410
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2670
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6426
7.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
15114
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12804
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1460
115.8 IPS |
|
|
Object Detection (HP)
|
97% |
2946
234.6 IPS |
|
|
Object Detection (Q)
|
94% |
2117
168.7 IPS |
|
|
Face Detection (SP)
|
100% |
3222
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
6208
73.8 IPS |
|
|
Face Detection (Q)
|
100% |
3538
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6043
46.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11727
90.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8169
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18538
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29247
37.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24413
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3847
142.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5125
189.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3927
145.0 IPS |
|
|
Text Classification (SP)
|
100% |
2822
3.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4966
6.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4936
6.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3424
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7088
122.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7029
121.5 IPS |
