iPad14,4
Geekbench AI Score
3450
Single Precision Score
25770
Half Precision Score
28556
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | geckopelli |
| Upload Date | December 29 2024 11:24 PM |
| Views | 4 |
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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1380
256.6 IPS |
|
|
Image Classification (HP)
|
100% |
14209
2.64 KIPS |
|
|
Image Classification (Q)
|
96% |
14911
2.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1506
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19231
311.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23736
384.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6856
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
101316
118.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
104304
122.3 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.5 IPS |
|
|
Object Detection (HP)
|
99% |
14978
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
16827
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3161
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
32345
384.3 IPS |
|
|
Face Detection (Q)
|
100% |
41380
491.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5719
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
84212
648.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
107842
842.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18984
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
199544
256.5 IPS |
|
|
Style Transfer (Q)
|
96% |
190253
245.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4019
148.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39657
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45846
1.69 KIPS |
|
|
Text Classification (SP)
|
100% |
2185
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3655
4.88 KIPS |
|
|
Text Classification (Q)
|
93% |
3606
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3550
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3954
68.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4136
71.5 IPS |
