iPad16,4
Geekbench AI Score
4672
Single Precision Score
35736
Half Precision Score
50782
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 10:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,4 |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1934
359.6 IPS |
|
|
Image Classification (HP)
|
100% |
17302
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
26696
4.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16267
263.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
20341
329.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9950
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123330
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
229212
268.7 IPS |
|
|
Object Detection (SP)
|
100% |
2211
175.4 IPS |
|
|
Object Detection (HP)
|
100% |
18536
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
27194
2.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3968
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
42447
504.4 IPS |
|
|
Face Detection (Q)
|
100% |
61610
732.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8298
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99093
763.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
168082
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25214
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232585
299.0 IPS |
|
|
Style Transfer (Q)
|
96% |
297608
384.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5872
216.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50146
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86921
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
2969
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
6406
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6845
9.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3835
66.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16801
289.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18378
317.6 IPS |
