iPad14,4
Geekbench AI Score
3464
Single Precision Score
25987
Half Precision Score
28628
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 25 2025 03:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1387
258.0 IPS |
|
|
Image Classification (HP)
|
100% |
14405
2.68 KIPS |
|
|
Image Classification (Q)
|
96% |
14586
2.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1536
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19086
309.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23701
384.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6878
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
104086
121.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104652
122.7 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
99% |
14996
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
16801
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3138
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
32361
384.5 IPS |
|
|
Face Detection (Q)
|
100% |
41193
489.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5693
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
86534
666.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
104880
819.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18882
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
200395
257.6 IPS |
|
|
Style Transfer (Q)
|
96% |
188394
243.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4081
150.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38026
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47311
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
2223
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3731
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3718
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3550
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4112
70.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4250
73.4 IPS |
