iPad14,8
Geekbench AI Score
3448
Single Precision Score
22771
Half Precision Score
24765
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | pakitt |
| Upload Date | September 19 2024 04:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad14,8 |
| Model ID | iPad14,8 |
| Motherboard | J507AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1384
257.4 IPS |
|
|
Image Classification (HP)
|
100% |
14080
2.62 KIPS |
|
|
Image Classification (Q)
|
96% |
14457
2.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9709
157.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10801
175.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6905
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
105397
123.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104464
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
1553
123.2 IPS |
|
|
Object Detection (HP)
|
99% |
15011
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
17369
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3147
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
30962
367.9 IPS |
|
|
Face Detection (Q)
|
100% |
38527
457.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5682
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
84105
648.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
106134
829.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18854
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
201331
258.8 IPS |
|
|
Style Transfer (Q)
|
96% |
189860
245.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4060
149.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38110
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46372
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
2165
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3615
4.82 KIPS |
|
|
Text Classification (Q)
|
93% |
3599
4.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3548
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2400
41.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2364
40.8 IPS |
