iPad15,7
Geekbench AI Score
3612
Single Precision Score
22101
Half Precision Score
24216
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 20 2025 05:53 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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1451
269.8 IPS |
|
|
Image Classification (HP)
|
100% |
9505
1.77 KIPS |
|
|
Image Classification (Q)
|
97% |
11057
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1470
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15937
258.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19219
311.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6806
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
95664
111.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
102020
119.6 IPS |
|
|
Object Detection (SP)
|
100% |
1610
127.7 IPS |
|
|
Object Detection (HP)
|
100% |
11582
918.7 IPS |
|
|
Object Detection (Q)
|
91% |
13053
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
3373
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
30482
362.2 IPS |
|
|
Face Detection (Q)
|
100% |
39849
473.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6047
46.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
71466
550.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
88902
695.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18919
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
168016
216.0 IPS |
|
|
Style Transfer (Q)
|
96% |
169154
218.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4046
149.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31346
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35413
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2771
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2028
2.71 KIPS |
|
|
Text Classification (Q)
|
93% |
1422
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3744
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7123
122.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8122
140.4 IPS |
