iPad15,7
Geekbench AI Score
3554
Single Precision Score
6229
Half Precision Score
5090
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 26 2025 06:48 PM |
| 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% |
1456
270.8 IPS |
|
|
Image Classification (HP)
|
100% |
2634
489.8 IPS |
|
|
Image Classification (Q)
|
96% |
1819
339.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1464
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2663
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6495
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
14783
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12486
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1542
122.3 IPS |
|
|
Object Detection (HP)
|
97% |
2923
232.7 IPS |
|
|
Object Detection (Q)
|
94% |
2084
166.1 IPS |
|
|
Face Detection (SP)
|
100% |
3296
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
6093
72.4 IPS |
|
|
Face Detection (Q)
|
100% |
3499
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6052
46.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11703
90.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8103
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18128
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29686
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24503
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4027
148.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5124
189.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3896
143.8 IPS |
|
|
Text Classification (SP)
|
100% |
2807
3.75 KIPS |
|
|
Text Classification (HP)
|
99% |
4797
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4813
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3690
63.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7053
121.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7117
123.0 IPS |
