iPad14,4
Geekbench AI Score
7009
Single Precision Score
7841
Half Precision Score
6895
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | geckopelli |
| Upload Date | December 29 2024 11:22 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3620
673.3 IPS |
|
|
Image Classification (HP)
|
100% |
3605
670.4 IPS |
|
|
Image Classification (Q)
|
97% |
2983
556.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4054
65.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5026
81.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5081
82.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24763
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26301
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24496
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3680
291.9 IPS |
|
|
Object Detection (HP)
|
100% |
3737
296.4 IPS |
|
|
Object Detection (Q)
|
91% |
3055
244.1 IPS |
|
|
Face Detection (SP)
|
100% |
10370
123.2 IPS |
|
|
Face Detection (HP)
|
100% |
11958
142.1 IPS |
|
|
Face Detection (Q)
|
100% |
8320
98.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16742
129.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17834
137.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
14851
116.1 IPS |
|
|
Style Transfer (SP)
|
100% |
42661
54.8 IPS |
|
|
Style Transfer (HP)
|
100% |
48531
62.4 IPS |
|
|
Style Transfer (Q)
|
96% |
45425
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9791
361.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10158
375.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7971
294.3 IPS |
|
|
Text Classification (SP)
|
100% |
2156
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
3615
4.82 KIPS |
|
|
Text Classification (Q)
|
93% |
3677
4.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1369
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1298
22.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1302
22.5 IPS |
