iPad14,8
Geekbench AI Score
5930
Single Precision Score
6484
Half Precision Score
5859
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:20 PM |
| 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% |
2951
548.8 IPS |
|
|
Image Classification (HP)
|
100% |
2996
557.2 IPS |
|
|
Image Classification (Q)
|
97% |
2255
420.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3830
62.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4556
73.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4508
73.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
22374
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
23772
27.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
21699
25.4 IPS |
|
|
Object Detection (SP)
|
100% |
3031
240.4 IPS |
|
|
Object Detection (HP)
|
100% |
3207
254.4 IPS |
|
|
Object Detection (Q)
|
91% |
2495
199.4 IPS |
|
|
Face Detection (SP)
|
100% |
9605
114.1 IPS |
|
|
Face Detection (HP)
|
100% |
10785
128.2 IPS |
|
|
Face Detection (Q)
|
100% |
7466
88.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15316
118.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16307
125.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
12689
99.2 IPS |
|
|
Style Transfer (SP)
|
100% |
38228
49.1 IPS |
|
|
Style Transfer (HP)
|
100% |
43645
56.1 IPS |
|
|
Style Transfer (Q)
|
96% |
40729
52.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8077
298.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8469
312.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6402
236.4 IPS |
|
|
Text Classification (SP)
|
100% |
2158
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
3594
4.80 KIPS |
|
|
Text Classification (Q)
|
93% |
3626
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
541
9.32 IPS |
|
|
Machine Translation (Q)
|
98% |
968
16.7 IPS |
