iPad15,7
Geekbench AI Score
3584
Single Precision Score
6260
Half Precision Score
5112
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 27 2025 01:52 AM |
| Views | 3 |
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% |
1449
269.5 IPS |
|
|
Image Classification (HP)
|
100% |
2640
491.0 IPS |
|
|
Image Classification (Q)
|
96% |
1813
338.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1472
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2676
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6660
7.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
14932
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12540
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.7 IPS |
|
|
Object Detection (HP)
|
97% |
2943
234.3 IPS |
|
|
Object Detection (Q)
|
94% |
2106
167.8 IPS |
|
|
Face Detection (SP)
|
100% |
3346
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
6144
73.0 IPS |
|
|
Face Detection (Q)
|
100% |
3519
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6127
47.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11743
90.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8144
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18302
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29694
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24703
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3998
147.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5133
189.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3922
144.8 IPS |
|
|
Text Classification (SP)
|
100% |
2818
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4838
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4816
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3742
64.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7087
122.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7122
123.1 IPS |
