iPad15,7
Geekbench AI Score
3632
Single Precision Score
21955
Half Precision Score
24409
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 25 2025 05:30 PM |
| Views | 12 |
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% |
1443
268.4 IPS |
|
|
Image Classification (HP)
|
100% |
8991
1.67 KIPS |
|
|
Image Classification (Q)
|
97% |
10596
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1512
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14473
234.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19167
310.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6802
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
97628
113.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
102137
119.7 IPS |
|
|
Object Detection (SP)
|
100% |
1599
126.8 IPS |
|
|
Object Detection (HP)
|
100% |
12346
979.3 IPS |
|
|
Object Detection (Q)
|
91% |
14560
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3379
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
30780
365.7 IPS |
|
|
Face Detection (Q)
|
100% |
38850
461.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6159
47.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
72226
556.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
88110
688.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18955
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
170990
219.8 IPS |
|
|
Style Transfer (Q)
|
96% |
171841
221.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4069
150.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32059
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35078
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2820
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1959
2.61 KIPS |
|
|
Text Classification (Q)
|
93% |
1491
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3720
64.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6952
119.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8080
139.6 IPS |
