iPad15,7
Geekbench AI Score
3596
Single Precision Score
6197
Half Precision Score
5044
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | May 20 2025 03:47 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1431
266.1 IPS |
|
|
Image Classification (HP)
|
100% |
2553
474.7 IPS |
|
|
Image Classification (Q)
|
96% |
1749
326.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1449
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2626
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7090
8.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
15577
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13206
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1601
127.0 IPS |
|
|
Object Detection (HP)
|
97% |
2913
231.9 IPS |
|
|
Object Detection (Q)
|
94% |
2069
164.9 IPS |
|
|
Face Detection (SP)
|
100% |
3257
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
6067
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3483
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6139
47.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11657
90.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8006
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19240
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29776
38.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24507
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4108
151.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5137
189.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3846
142.0 IPS |
|
|
Text Classification (SP)
|
100% |
2693
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4772
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4762
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3618
62.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6672
115.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6796
117.4 IPS |
