iPad15,7
Geekbench AI Score
3450
Single Precision Score
22114
Half Precision Score
25138
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 01:21 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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1323
246.1 IPS |
|
|
Image Classification (HP)
|
100% |
8869
1.65 KIPS |
|
|
Image Classification (Q)
|
97% |
10767
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1417
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16274
263.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19338
313.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6463
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
97127
113.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
102912
120.6 IPS |
|
|
Object Detection (SP)
|
100% |
1482
117.5 IPS |
|
|
Object Detection (HP)
|
100% |
12406
984.1 IPS |
|
|
Object Detection (Q)
|
91% |
14545
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3263
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
30018
356.7 IPS |
|
|
Face Detection (Q)
|
100% |
38159
453.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5885
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
72177
556.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
89696
701.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18748
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
170195
218.8 IPS |
|
|
Style Transfer (Q)
|
96% |
172585
222.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3866
142.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32475
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36153
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
2795
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
1884
2.51 KIPS |
|
|
Text Classification (Q)
|
93% |
1846
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3424
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7130
122.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8202
141.7 IPS |
