iPad14,8
Geekbench AI Score
5858
Single Precision Score
6406
Half Precision Score
5412
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 01:09 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
2843
528.7 IPS |
|
|
Image Classification (HP)
|
100% |
2957
549.9 IPS |
|
|
Image Classification (Q)
|
97% |
1129
210.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3821
61.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4557
73.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4487
72.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
22177
25.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
23751
27.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
21681
25.4 IPS |
|
|
Object Detection (SP)
|
100% |
3118
247.3 IPS |
|
|
Object Detection (HP)
|
100% |
2853
226.3 IPS |
|
|
Object Detection (Q)
|
91% |
2363
188.8 IPS |
|
|
Face Detection (SP)
|
100% |
8663
102.9 IPS |
|
|
Face Detection (HP)
|
100% |
9660
114.8 IPS |
|
|
Face Detection (Q)
|
100% |
7084
84.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15146
116.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
15524
119.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
12122
94.8 IPS |
|
|
Style Transfer (SP)
|
100% |
38237
49.2 IPS |
|
|
Style Transfer (HP)
|
100% |
43589
56.0 IPS |
|
|
Style Transfer (Q)
|
96% |
40717
52.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7996
295.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8447
311.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6330
233.7 IPS |
|
|
Text Classification (SP)
|
100% |
2189
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3616
4.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3592
4.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
639
11.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1045
18.1 IPS |
