iPad14,8
Geekbench AI Score
5899
Single Precision Score
6703
Half Precision Score
5818
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 09:33 PM |
| Views | 1 |
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% |
2895
538.3 IPS |
|
|
Image Classification (HP)
|
100% |
2955
549.5 IPS |
|
|
Image Classification (Q)
|
97% |
2464
459.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3825
62.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4569
74.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4579
74.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
22383
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
23650
27.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
22113
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
2910
230.8 IPS |
|
|
Object Detection (HP)
|
100% |
3187
252.8 IPS |
|
|
Object Detection (Q)
|
91% |
2637
210.7 IPS |
|
|
Face Detection (SP)
|
100% |
9605
114.1 IPS |
|
|
Face Detection (HP)
|
100% |
10829
128.7 IPS |
|
|
Face Detection (Q)
|
100% |
7560
89.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15333
118.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
16224
125.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
13332
104.2 IPS |
|
|
Style Transfer (SP)
|
100% |
38420
49.4 IPS |
|
|
Style Transfer (HP)
|
100% |
43585
56.0 IPS |
|
|
Style Transfer (Q)
|
96% |
40744
52.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7993
295.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8436
311.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6622
244.5 IPS |
|
|
Text Classification (SP)
|
100% |
2167
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3617
4.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3619
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
771
13.3 IPS |
|
|
Machine Translation (Q)
|
98% |
687
11.9 IPS |
