iPad15,7
Geekbench AI Score
3608
Single Precision Score
22025
Half Precision Score
25164
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 24 2025 07:38 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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1455
270.6 IPS |
|
|
Image Classification (HP)
|
100% |
8986
1.67 KIPS |
|
|
Image Classification (Q)
|
97% |
11095
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1481
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13649
221.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19121
310.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6631
7.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
95299
111.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
102945
120.7 IPS |
|
|
Object Detection (SP)
|
100% |
1598
126.8 IPS |
|
|
Object Detection (HP)
|
100% |
12778
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14576
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3325
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
30348
360.6 IPS |
|
|
Face Detection (Q)
|
100% |
38033
451.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6198
47.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
73719
568.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
91272
713.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18650
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
177946
228.8 IPS |
|
|
Style Transfer (Q)
|
96% |
175182
226.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4079
150.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32551
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35240
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2818
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1981
2.64 KIPS |
|
|
Text Classification (Q)
|
93% |
1820
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3712
63.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7008
120.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8202
141.7 IPS |
