iPad15,7
Geekbench AI Score
3644
Single Precision Score
22210
Half Precision Score
24773
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 19 2025 06:25 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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1457
271.0 IPS |
|
|
Image Classification (HP)
|
100% |
9057
1.68 KIPS |
|
|
Image Classification (Q)
|
97% |
10820
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1478
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16309
264.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19211
311.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7075
8.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
99012
115.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
102472
120.1 IPS |
|
|
Object Detection (SP)
|
100% |
1605
127.3 IPS |
|
|
Object Detection (HP)
|
100% |
12407
984.1 IPS |
|
|
Object Detection (Q)
|
91% |
14635
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3325
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
29934
355.7 IPS |
|
|
Face Detection (Q)
|
100% |
38290
455.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6175
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
71803
553.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
89021
696.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19304
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
172336
221.5 IPS |
|
|
Style Transfer (Q)
|
96% |
173181
223.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4079
150.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33126
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34961
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2823
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1860
2.48 KIPS |
|
|
Text Classification (Q)
|
93% |
1650
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3704
63.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7055
121.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8201
141.7 IPS |
