iPad15,7
Geekbench AI Score
3430
Single Precision Score
6269
Half Precision Score
5117
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 27 2025 03:19 AM |
| Views | 2 |
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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1340
249.1 IPS |
|
|
Image Classification (HP)
|
100% |
2616
486.5 IPS |
|
|
Image Classification (Q)
|
96% |
1818
339.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1398
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2676
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6433
7.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
15119
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12785
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1469
116.5 IPS |
|
|
Object Detection (HP)
|
97% |
2954
235.2 IPS |
|
|
Object Detection (Q)
|
94% |
2113
168.4 IPS |
|
|
Face Detection (SP)
|
100% |
3210
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
6227
74.0 IPS |
|
|
Face Detection (Q)
|
100% |
3540
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5957
45.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11714
90.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8157
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18472
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29143
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24256
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3852
142.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5106
188.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3926
145.0 IPS |
|
|
Text Classification (SP)
|
100% |
2763
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4851
6.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4785
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3389
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7106
122.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7124
123.1 IPS |
