iPad15,7
Geekbench AI Score
3627
Single Precision Score
22277
Half Precision Score
25081
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 01 2025 03:07 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1455
270.6 IPS |
|
|
Image Classification (HP)
|
100% |
10005
1.86 KIPS |
|
|
Image Classification (Q)
|
97% |
10993
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1487
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14953
242.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19202
311.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6768
7.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
98270
114.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
102414
120.0 IPS |
|
|
Object Detection (SP)
|
100% |
1597
126.7 IPS |
|
|
Object Detection (HP)
|
100% |
12400
983.6 IPS |
|
|
Object Detection (Q)
|
91% |
14100
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3369
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
31065
369.1 IPS |
|
|
Face Detection (Q)
|
100% |
38973
463.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6151
47.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
71926
554.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
88888
695.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18938
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
169225
217.5 IPS |
|
|
Style Transfer (Q)
|
96% |
173262
223.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4049
149.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32806
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35670
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2818
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1863
2.49 KIPS |
|
|
Text Classification (Q)
|
93% |
1828
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3767
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7148
123.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8259
142.7 IPS |
