iPad15,7
Geekbench AI Score
3541
Single Precision Score
6170
Half Precision Score
5023
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | June 03 2025 11:43 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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1379
256.4 IPS |
|
|
Image Classification (HP)
|
100% |
2550
474.3 IPS |
|
|
Image Classification (Q)
|
96% |
1752
327.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1450
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2630
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6785
7.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
15246
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12659
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1591
126.2 IPS |
|
|
Object Detection (HP)
|
97% |
2911
231.7 IPS |
|
|
Object Detection (Q)
|
94% |
2062
164.4 IPS |
|
|
Face Detection (SP)
|
100% |
3300
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
6061
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
3484
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6081
46.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11625
89.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8023
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18603
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29684
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24459
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3964
146.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5073
187.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3872
143.0 IPS |
|
|
Text Classification (SP)
|
100% |
2684
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4754
6.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4810
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3617
62.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6679
115.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6683
115.5 IPS |
