iPad16,2
Geekbench AI Score
3965
Single Precision Score
25198
Half Precision Score
35500
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | oldnick |
| Upload Date | December 31 2024 01:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.77 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1737
323.0 IPS |
|
|
Image Classification (HP)
|
100% |
11124
2.07 KIPS |
|
|
Image Classification (Q)
|
97% |
15591
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1652
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15788
255.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
20959
339.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7603
8.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
106666
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
204233
239.4 IPS |
|
|
Object Detection (SP)
|
100% |
1807
143.3 IPS |
|
|
Object Detection (HP)
|
100% |
13868
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18851
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3314
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
34422
409.0 IPS |
|
|
Face Detection (Q)
|
100% |
51643
613.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6950
53.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78613
605.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
128249
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
20634
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
204925
263.4 IPS |
|
|
Style Transfer (Q)
|
96% |
251444
324.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4856
179.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34172
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58645
2.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3213
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
3367
4.49 KIPS |
|
|
Text Classification (Q)
|
93% |
3476
4.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3292
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6228
107.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7445
128.7 IPS |
