iPad15,7
Geekbench AI Score
3635
Single Precision Score
21966
Half Precision Score
24155
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 21 2025 02:33 AM |
| Views | 10 |
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 | 5.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1454
270.4 IPS |
|
|
Image Classification (HP)
|
100% |
9041
1.68 KIPS |
|
|
Image Classification (Q)
|
97% |
10723
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1495
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15506
251.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19071
309.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6875
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
97730
114.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
102042
119.6 IPS |
|
|
Object Detection (SP)
|
100% |
1613
127.9 IPS |
|
|
Object Detection (HP)
|
100% |
11424
906.2 IPS |
|
|
Object Detection (Q)
|
91% |
13067
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
3359
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
30754
365.4 IPS |
|
|
Face Detection (Q)
|
100% |
38848
461.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6235
48.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
71195
548.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
89010
695.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19245
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
173150
222.6 IPS |
|
|
Style Transfer (Q)
|
96% |
169794
219.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4063
150.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33035
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35663
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2768
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1864
2.49 KIPS |
|
|
Text Classification (Q)
|
93% |
1454
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3694
63.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7160
123.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8148
140.8 IPS |
