iPad15,7
Geekbench AI Score
3614
Single Precision Score
22452
Half Precision Score
25892
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 04 2025 03:36 AM |
| Views | 13 |
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% |
1456
270.7 IPS |
|
|
Image Classification (HP)
|
100% |
9134
1.70 KIPS |
|
|
Image Classification (Q)
|
97% |
10732
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1477
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13968
226.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19184
311.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6723
7.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
95394
111.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
102325
119.9 IPS |
|
|
Object Detection (SP)
|
100% |
1601
127.0 IPS |
|
|
Object Detection (HP)
|
100% |
12799
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14595
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3345
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
30540
362.9 IPS |
|
|
Face Detection (Q)
|
100% |
38288
454.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6023
46.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
71819
553.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
88814
694.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18801
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
171942
221.0 IPS |
|
|
Style Transfer (Q)
|
96% |
174249
224.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4082
150.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32587
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35385
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2835
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
2368
3.16 KIPS |
|
|
Text Classification (Q)
|
93% |
2512
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3749
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7182
123.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8362
144.5 IPS |
