iPad14,8
Geekbench AI Score
5925
Single Precision Score
6649
Half Precision Score
5965
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Angus72 |
| Upload Date | October 31 2024 10:08 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2909
541.0 IPS |
|
|
Image Classification (HP)
|
100% |
2969
552.2 IPS |
|
|
Image Classification (Q)
|
97% |
2543
474.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3828
62.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4561
73.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4579
74.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
22334
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
23678
27.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
22117
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
3156
250.3 IPS |
|
|
Object Detection (HP)
|
100% |
3137
248.8 IPS |
|
|
Object Detection (Q)
|
91% |
2634
210.5 IPS |
|
|
Face Detection (SP)
|
100% |
9608
114.2 IPS |
|
|
Face Detection (HP)
|
100% |
10854
129.0 IPS |
|
|
Face Detection (Q)
|
100% |
7509
89.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15381
118.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
16304
125.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
13376
104.6 IPS |
|
|
Style Transfer (SP)
|
100% |
38887
50.0 IPS |
|
|
Style Transfer (HP)
|
100% |
43667
56.1 IPS |
|
|
Style Transfer (Q)
|
96% |
40803
52.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8031
296.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8404
310.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6659
245.9 IPS |
|
|
Text Classification (SP)
|
100% |
2184
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3610
4.82 KIPS |
|
|
Text Classification (Q)
|
93% |
3581
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
674
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
717
12.3 IPS |
|
|
Machine Translation (Q)
|
98% |
861
14.9 IPS |
