iPad16,1
Geekbench AI Score
3943
Single Precision Score
25117
Half Precision Score
35233
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 09:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| 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% |
1743
324.1 IPS |
|
|
Image Classification (HP)
|
100% |
11186
2.08 KIPS |
|
|
Image Classification (Q)
|
97% |
15141
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1656
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16040
260.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21094
341.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7627
8.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
104053
121.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
204866
240.1 IPS |
|
|
Object Detection (SP)
|
100% |
1791
142.0 IPS |
|
|
Object Detection (HP)
|
100% |
13882
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18843
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3290
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
35418
420.8 IPS |
|
|
Face Detection (Q)
|
100% |
50964
605.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6811
52.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78107
601.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
129788
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
20238
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
204135
262.4 IPS |
|
|
Style Transfer (Q)
|
96% |
252870
326.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4829
178.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33904
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58198
2.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3178
4.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3399
4.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3294
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6339
109.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7228
124.9 IPS |
