iPad14,4
Geekbench AI Score
3471
Single Precision Score
25994
Half Precision Score
28603
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 09:29 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1386
257.7 IPS |
|
|
Image Classification (HP)
|
100% |
14714
2.74 KIPS |
|
|
Image Classification (Q)
|
96% |
14824
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1535
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19242
311.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23789
385.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6906
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
101794
118.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104351
122.3 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.7 IPS |
|
|
Object Detection (HP)
|
99% |
14998
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
16843
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3156
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
32649
387.9 IPS |
|
|
Face Detection (Q)
|
100% |
41493
493.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5711
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
85116
655.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
104826
819.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18928
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
201697
259.3 IPS |
|
|
Style Transfer (Q)
|
96% |
190237
245.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4150
153.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38832
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46388
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
2193
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3762
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3746
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3568
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3980
68.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4113
71.1 IPS |
