iPad15,7
Geekbench AI Score
3590
Single Precision Score
22643
Half Precision Score
26849
Quantized Score
Geekbench AI 1.3.0-Beta2 for iOS AArch64
Result Information
| Upload Date | April 10 2025 03:45 PM |
| Views | 1 |
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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1445
268.7 IPS |
|
|
Image Classification (HP)
|
100% |
9598
1.79 KIPS |
|
|
Image Classification (Q)
|
97% |
12377
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1442
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13635
221.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19396
314.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6930
8.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
98443
114.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
105515
123.7 IPS |
|
|
Object Detection (SP)
|
100% |
1609
127.7 IPS |
|
|
Object Detection (HP)
|
100% |
12806
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14942
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3238
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
31157
370.2 IPS |
|
|
Face Detection (Q)
|
100% |
39181
465.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6039
46.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
75345
580.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
95818
749.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19110
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
172118
221.3 IPS |
|
|
Style Transfer (Q)
|
96% |
179075
231.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4113
151.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33095
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37924
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
2737
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
2170
2.90 KIPS |
|
|
Text Classification (Q)
|
93% |
2422
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3643
62.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7403
127.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8330
144.0 IPS |
