iPad15,7
Geekbench AI Score
3631
Single Precision Score
23242
Half Precision Score
25990
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 23 2025 06:18 PM |
| Views | 11 |
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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1453
270.2 IPS |
|
|
Image Classification (HP)
|
100% |
9439
1.76 KIPS |
|
|
Image Classification (Q)
|
97% |
11003
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1479
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15444
250.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
17582
285.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6666
7.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
97749
114.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
103286
121.1 IPS |
|
|
Object Detection (SP)
|
100% |
1600
126.9 IPS |
|
|
Object Detection (HP)
|
100% |
12418
985.0 IPS |
|
|
Object Detection (Q)
|
91% |
14670
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3366
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
30467
362.0 IPS |
|
|
Face Detection (Q)
|
100% |
38207
454.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6178
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
71492
550.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
90026
703.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18685
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
175090
225.1 IPS |
|
|
Style Transfer (Q)
|
96% |
172619
222.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4095
151.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32664
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35987
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
2827
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2941
3.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2760
3.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3873
66.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7096
122.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8136
140.6 IPS |
