iPad14,10
Geekbench AI Score
3461
Single Precision Score
27258
Half Precision Score
30194
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 12:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad14,10 |
| Model ID | iPad14,10 |
| Motherboard | J537AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1388
258.1 IPS |
|
|
Image Classification (HP)
|
100% |
14306
2.66 KIPS |
|
|
Image Classification (Q)
|
96% |
14804
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18919
306.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23761
385.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6879
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
102986
120.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
104424
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
99% |
15036
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
16930
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3166
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
32895
390.9 IPS |
|
|
Face Detection (Q)
|
100% |
41133
488.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5673
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
85551
659.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
103862
811.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18860
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
200552
257.8 IPS |
|
|
Style Transfer (Q)
|
96% |
189356
244.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4046
149.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38381
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46232
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
2216
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3680
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3652
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3556
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6778
116.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7416
128.2 IPS |
