iPad16,2
Geekbench AI Score
4072
Single Precision Score
25327
Half Precision Score
35361
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 12:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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
322.9 IPS |
|
|
Image Classification (HP)
|
100% |
11418
2.12 KIPS |
|
|
Image Classification (Q)
|
97% |
16010
2.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1653
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16054
260.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
20958
339.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8132
9.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
107813
125.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
204489
239.7 IPS |
|
|
Object Detection (SP)
|
100% |
1854
147.1 IPS |
|
|
Object Detection (HP)
|
100% |
13883
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19166
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3382
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
34516
410.1 IPS |
|
|
Face Detection (Q)
|
100% |
51578
612.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7193
55.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78455
604.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
127266
995.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21760
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
205131
263.7 IPS |
|
|
Style Transfer (Q)
|
96% |
252259
325.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5148
190.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34490
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58214
2.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3263
4.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3337
4.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3331
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6334
109.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7228
124.9 IPS |
