iPad15,5
Geekbench AI Score
4085
Single Precision Score
30751
Half Precision Score
34975
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 04:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPad15,5 |
| Model ID | iPad15,5 |
| Motherboard | J637AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1577
293.2 IPS |
|
|
Image Classification (HP)
|
100% |
16617
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
19958
3.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1894
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21913
355.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
27024
438.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8924
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
121563
141.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
120908
141.7 IPS |
|
|
Object Detection (SP)
|
100% |
1820
144.4 IPS |
|
|
Object Detection (HP)
|
100% |
18062
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
20910
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
3524
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
39055
464.1 IPS |
|
|
Face Detection (Q)
|
100% |
50327
598.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7117
54.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
97773
753.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
123823
968.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22322
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
229182
294.6 IPS |
|
|
Style Transfer (Q)
|
96% |
223210
288.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5179
191.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45976
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58249
2.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5228
6.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5209
6.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3145
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4497
77.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4760
82.3 IPS |
