iPad15,7
Geekbench AI Score
3594
Single Precision Score
6269
Half Precision Score
5115
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 08 2025 02:25 AM |
| 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% |
1460
271.6 IPS |
|
|
Image Classification (HP)
|
100% |
2577
479.3 IPS |
|
|
Image Classification (Q)
|
96% |
1810
337.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1484
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2680
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6737
7.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
15127
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12627
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
97% |
2953
235.1 IPS |
|
|
Object Detection (Q)
|
94% |
2116
168.7 IPS |
|
|
Face Detection (SP)
|
100% |
3314
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
6174
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
3506
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6142
47.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11731
90.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8166
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18300
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29807
38.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24646
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4024
148.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5132
189.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3939
145.5 IPS |
|
|
Text Classification (SP)
|
100% |
2822
3.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4838
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4768
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3727
64.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7165
123.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7143
123.4 IPS |
