iPad14,8
Geekbench AI Score
3462
Single Precision Score
5965
Half Precision Score
4842
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 09:03 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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1387
258.0 IPS |
|
|
Image Classification (HP)
|
100% |
2519
468.5 IPS |
|
|
Image Classification (Q)
|
96% |
1763
329.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1537
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2466
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2864
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6835
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
14808
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12727
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1553
123.2 IPS |
|
|
Object Detection (HP)
|
97% |
2864
228.0 IPS |
|
|
Object Detection (Q)
|
94% |
2072
165.1 IPS |
|
|
Face Detection (SP)
|
100% |
3138
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6171
73.3 IPS |
|
|
Face Detection (Q)
|
100% |
3539
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5690
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11618
89.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7995
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19034
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29023
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24103
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4070
150.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4865
179.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3642
134.5 IPS |
|
|
Text Classification (SP)
|
100% |
2238
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3744
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3726
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3532
60.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5716
98.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5750
99.4 IPS |
