iPad14,10
Geekbench AI Score
3460
Single Precision Score
5961
Half Precision Score
4830
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 12:34 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1395
259.4 IPS |
|
|
Image Classification (HP)
|
100% |
2529
470.4 IPS |
|
|
Image Classification (Q)
|
96% |
1773
331.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1528
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2461
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2842
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6873
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14847
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12742
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1563
124.0 IPS |
|
|
Object Detection (HP)
|
97% |
2874
228.8 IPS |
|
|
Object Detection (Q)
|
94% |
2073
165.3 IPS |
|
|
Face Detection (SP)
|
100% |
3164
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6206
73.7 IPS |
|
|
Face Detection (Q)
|
100% |
3551
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5670
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11597
89.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7993
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18832
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28519
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23751
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4043
149.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4808
177.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3601
133.0 IPS |
|
|
Text Classification (SP)
|
100% |
2216
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3742
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3733
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3557
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5783
99.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5735
99.1 IPS |
