iPad15,7
Geekbench AI Score
3621
Single Precision Score
22188
Half Precision Score
24388
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 02 2025 06:27 PM |
| 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% |
1444
268.6 IPS |
|
|
Image Classification (HP)
|
100% |
8999
1.67 KIPS |
|
|
Image Classification (Q)
|
97% |
10578
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1473
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16225
263.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19159
310.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6818
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
96289
112.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
102342
120.0 IPS |
|
|
Object Detection (SP)
|
100% |
1603
127.1 IPS |
|
|
Object Detection (HP)
|
100% |
12378
981.8 IPS |
|
|
Object Detection (Q)
|
91% |
14576
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3313
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
30806
366.0 IPS |
|
|
Face Detection (Q)
|
100% |
39125
464.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6183
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
71413
550.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
87908
687.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19152
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
170930
219.7 IPS |
|
|
Style Transfer (Q)
|
96% |
172869
223.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4053
149.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32187
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35397
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2812
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
1927
2.57 KIPS |
|
|
Text Classification (Q)
|
93% |
1438
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3730
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7125
122.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8137
140.6 IPS |
