iPad15,7
Geekbench AI Score
3560
Single Precision Score
23508
Half Precision Score
27690
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Chris Sack |
| Upload Date | March 29 2025 04:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.43 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1433
266.6 IPS |
|
|
Image Classification (HP)
|
100% |
10395
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
12923
2.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1449
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16362
265.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19573
317.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6803
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
97105
113.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105133
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
1598
126.8 IPS |
|
|
Object Detection (HP)
|
100% |
12818
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14956
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3206
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
31269
371.5 IPS |
|
|
Face Detection (Q)
|
100% |
40055
475.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6142
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
76071
586.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
97113
759.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18495
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
180267
231.7 IPS |
|
|
Style Transfer (Q)
|
96% |
182987
236.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4084
150.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32918
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40480
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
2695
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
2261
3.02 KIPS |
|
|
Text Classification (Q)
|
93% |
2793
3.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3619
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7629
131.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8282
143.1 IPS |
