iPad14,4
Geekbench AI Score
3432
Single Precision Score
22933
Half Precision Score
24999
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | poyrazkilic |
| Upload Date | October 01 2024 10:16 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 15.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1380
256.6 IPS |
|
|
Image Classification (HP)
|
100% |
14265
2.65 KIPS |
|
|
Image Classification (Q)
|
96% |
14424
2.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9776
158.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11017
178.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6871
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
105716
123.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
105984
124.2 IPS |
|
|
Object Detection (SP)
|
100% |
1517
120.3 IPS |
|
|
Object Detection (HP)
|
99% |
14992
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
17166
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3086
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
31807
377.9 IPS |
|
|
Face Detection (Q)
|
100% |
39495
469.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5675
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
84692
652.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
107015
836.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18822
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
199961
257.1 IPS |
|
|
Style Transfer (Q)
|
96% |
188980
243.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4038
149.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38329
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46927
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
2177
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3723
4.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3693
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3601
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2369
40.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2383
41.2 IPS |
