iPad15,7
Geekbench AI Score
3463
Single Precision Score
22117
Half Precision Score
25378
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 01:26 PM |
| Views | 2 |
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% |
1355
252.0 IPS |
|
|
Image Classification (HP)
|
100% |
8669
1.61 KIPS |
|
|
Image Classification (Q)
|
97% |
11752
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1410
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14400
233.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19222
311.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6529
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
94488
110.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
102693
120.4 IPS |
|
|
Object Detection (SP)
|
100% |
1482
117.5 IPS |
|
|
Object Detection (HP)
|
100% |
12722
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14245
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3245
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
30784
365.8 IPS |
|
|
Face Detection (Q)
|
100% |
38865
461.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6004
46.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
71456
550.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
89085
696.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18789
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
170930
219.7 IPS |
|
|
Style Transfer (Q)
|
96% |
172247
222.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3887
143.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33222
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36113
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
2764
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2034
2.72 KIPS |
|
|
Text Classification (Q)
|
93% |
1885
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3419
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7348
126.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8263
142.8 IPS |
