iPad15,7
Geekbench AI Score
3435
Single Precision Score
22305
Half Precision Score
25441
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 20 2025 02:58 AM |
| 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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1343
249.8 IPS |
|
|
Image Classification (HP)
|
100% |
9268
1.72 KIPS |
|
|
Image Classification (Q)
|
97% |
10832
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1410
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16247
263.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19264
312.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6410
7.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
96499
112.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
102158
119.7 IPS |
|
|
Object Detection (SP)
|
100% |
1480
117.4 IPS |
|
|
Object Detection (HP)
|
100% |
12665
1.00 KIPS |
|
|
Object Detection (Q)
|
91% |
13946
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3213
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
30928
367.5 IPS |
|
|
Face Detection (Q)
|
100% |
38937
462.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5884
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
71463
550.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
89174
697.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18714
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
169851
218.3 IPS |
|
|
Style Transfer (Q)
|
96% |
171658
221.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3849
142.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32941
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34673
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2747
3.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1874
2.50 KIPS |
|
|
Text Classification (Q)
|
93% |
2256
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3408
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7148
123.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8197
141.6 IPS |
