iPad14,8
Geekbench AI Score
3209
Single Precision Score
4793
Half Precision Score
4107
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | October 08 2024 04:36 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
1492
277.4 IPS |
|
|
Image Classification (HP)
|
100% |
1886
350.7 IPS |
|
|
Image Classification (Q)
|
96% |
1416
264.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1301
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1283
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1830
29.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6132
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
14538
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12535
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1593
126.3 IPS |
|
|
Object Detection (HP)
|
97% |
2271
180.8 IPS |
|
|
Object Detection (Q)
|
94% |
1734
138.2 IPS |
|
|
Face Detection (SP)
|
100% |
2898
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
4479
53.2 IPS |
|
|
Face Detection (Q)
|
100% |
2892
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5360
41.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
8628
66.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
6512
50.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17349
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27084
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22589
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3672
135.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4768
176.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3590
132.6 IPS |
|
|
Text Classification (SP)
|
100% |
2204
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3581
4.78 KIPS |
|
|
Text Classification (Q)
|
93% |
3550
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2808
48.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4482
77.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4482
77.5 IPS |
