iPad15,7
Geekbench AI Score
3626
Single Precision Score
21939
Half Precision Score
25462
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 23 2025 06:17 PM |
| 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% |
1448
269.3 IPS |
|
|
Image Classification (HP)
|
100% |
9240
1.72 KIPS |
|
|
Image Classification (Q)
|
97% |
11766
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1478
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14453
234.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19351
313.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6780
7.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
97393
113.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
102440
120.1 IPS |
|
|
Object Detection (SP)
|
100% |
1603
127.1 IPS |
|
|
Object Detection (HP)
|
100% |
12257
972.2 IPS |
|
|
Object Detection (Q)
|
91% |
14569
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3370
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
30860
366.7 IPS |
|
|
Face Detection (Q)
|
100% |
38962
463.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6192
47.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
71587
551.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
89138
696.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18960
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
169420
217.8 IPS |
|
|
Style Transfer (Q)
|
96% |
172584
222.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4037
149.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32545
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35551
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2854
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
1864
2.49 KIPS |
|
|
Text Classification (Q)
|
93% |
1951
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3712
63.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7138
123.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8110
140.1 IPS |
