iPad15,7
Geekbench AI Score
3626
Single Precision Score
21993
Half Precision Score
25341
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 02 2025 12:14 PM |
| Views | 10 |
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% |
1437
267.3 IPS |
|
|
Image Classification (HP)
|
100% |
10082
1.87 KIPS |
|
|
Image Classification (Q)
|
97% |
11882
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1471
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13769
223.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19197
311.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6910
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
97427
113.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
102306
119.9 IPS |
|
|
Object Detection (SP)
|
100% |
1605
127.3 IPS |
|
|
Object Detection (HP)
|
100% |
12289
974.8 IPS |
|
|
Object Detection (Q)
|
91% |
14277
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3229
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
30356
360.7 IPS |
|
|
Face Detection (Q)
|
100% |
38934
462.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6231
48.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
71237
548.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
90887
710.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19278
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
170159
218.7 IPS |
|
|
Style Transfer (Q)
|
96% |
171010
220.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4080
150.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33354
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35684
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2845
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
1858
2.48 KIPS |
|
|
Text Classification (Q)
|
93% |
1859
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3730
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6986
120.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8168
141.2 IPS |
