iPad14,4
Geekbench AI Score
3483
Single Precision Score
25697
Half Precision Score
26014
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | riotryan |
| Upload Date | January 27 2025 09:45 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1407
261.6 IPS |
|
|
Image Classification (HP)
|
100% |
13884
2.58 KIPS |
|
|
Image Classification (Q)
|
96% |
15193
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1541
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19018
308.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23804
385.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6874
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
100596
117.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
104257
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
1573
124.7 IPS |
|
|
Object Detection (HP)
|
99% |
15003
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
16858
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3154
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
32535
386.6 IPS |
|
|
Face Detection (Q)
|
100% |
16324
194.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5684
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
84780
653.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
104841
819.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18868
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
200729
258.0 IPS |
|
|
Style Transfer (Q)
|
96% |
187374
241.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4182
154.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38617
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46324
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3740
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3659
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3551
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3940
67.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4109
71.0 IPS |
