iPad15,7
Geekbench AI Score
3461
Single Precision Score
22328
Half Precision Score
24905
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 01:27 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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1328
247.0 IPS |
|
|
Image Classification (HP)
|
100% |
10100
1.88 KIPS |
|
|
Image Classification (Q)
|
97% |
10285
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1411
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14858
240.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19363
313.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6588
7.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
96483
112.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
102226
119.8 IPS |
|
|
Object Detection (SP)
|
100% |
1482
117.6 IPS |
|
|
Object Detection (HP)
|
100% |
12478
989.8 IPS |
|
|
Object Detection (Q)
|
91% |
14493
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3267
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
30034
356.9 IPS |
|
|
Face Detection (Q)
|
100% |
38331
455.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5998
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
71664
552.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
88878
694.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18908
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
171235
220.1 IPS |
|
|
Style Transfer (Q)
|
96% |
173528
223.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3872
143.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33047
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35041
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2757
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1964
2.62 KIPS |
|
|
Text Classification (Q)
|
93% |
1817
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3410
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7128
122.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8267
142.9 IPS |
