iPad15,7
Geekbench AI Score
3435
Single Precision Score
6212
Half Precision Score
5097
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 17 2025 02:26 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1355
251.9 IPS |
|
|
Image Classification (HP)
|
100% |
2611
485.6 IPS |
|
|
Image Classification (Q)
|
96% |
1808
337.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1408
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2678
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6444
7.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
15130
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13027
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1480
117.4 IPS |
|
|
Object Detection (HP)
|
97% |
2950
234.8 IPS |
|
|
Object Detection (Q)
|
94% |
2110
168.2 IPS |
|
|
Face Detection (SP)
|
100% |
3225
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
6207
73.8 IPS |
|
|
Face Detection (Q)
|
100% |
3544
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6018
46.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11705
90.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8143
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18630
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29156
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24256
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3808
140.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5083
187.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3909
144.3 IPS |
|
|
Text Classification (SP)
|
100% |
2665
3.56 KIPS |
|
|
Text Classification (HP)
|
99% |
4565
6.09 KIPS |
|
|
Text Classification (Q)
|
93% |
4579
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3431
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7065
122.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7099
122.7 IPS |
