iPad14,10
Geekbench AI Score
3446
Single Precision Score
22931
Half Precision Score
24982
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 08:18 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad14,10 |
| Model ID | iPad14,10 |
| Motherboard | J537AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1373
255.2 IPS |
|
|
Image Classification (HP)
|
100% |
14319
2.66 KIPS |
|
|
Image Classification (Q)
|
96% |
14619
2.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1519
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9738
157.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10825
175.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6867
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
103026
120.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
104318
122.3 IPS |
|
|
Object Detection (SP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (HP)
|
99% |
15037
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17091
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3138
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
31828
378.2 IPS |
|
|
Face Detection (Q)
|
100% |
40955
486.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5660
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
84630
652.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
104227
814.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18780
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
201815
259.4 IPS |
|
|
Style Transfer (Q)
|
96% |
189125
244.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4053
149.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38920
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47638
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
2221
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3716
4.96 KIPS |
|
|
Text Classification (Q)
|
93% |
3669
4.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3550
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2368
40.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2379
41.1 IPS |
