iPad14,8
Geekbench AI Score
3445
Single Precision Score
5925
Half Precision Score
4801
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 07:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1373
255.3 IPS |
|
|
Image Classification (HP)
|
100% |
2505
465.9 IPS |
|
|
Image Classification (Q)
|
96% |
1738
324.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1525
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2434
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2838
46.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6865
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
14886
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12702
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1552
123.1 IPS |
|
|
Object Detection (HP)
|
97% |
2866
228.2 IPS |
|
|
Object Detection (Q)
|
94% |
2070
165.0 IPS |
|
|
Face Detection (SP)
|
100% |
3162
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6187
73.5 IPS |
|
|
Face Detection (Q)
|
100% |
3543
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5673
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11568
89.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7977
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18789
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28452
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23655
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4058
149.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4798
177.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3619
133.6 IPS |
|
|
Text Classification (SP)
|
100% |
2190
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3684
4.92 KIPS |
|
|
Text Classification (Q)
|
93% |
3634
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3531
60.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5695
98.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5716
98.8 IPS |
