iPad16,1
Geekbench AI Score
4039
Single Precision Score
25165
Half Precision Score
35375
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | October 31 2024 03:20 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.76 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1745
324.5 IPS |
|
|
Image Classification (HP)
|
100% |
11270
2.10 KIPS |
|
|
Image Classification (Q)
|
97% |
15408
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1653
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16118
261.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21049
341.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8011
9.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
107187
125.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
203965
239.1 IPS |
|
|
Object Detection (SP)
|
100% |
1823
144.6 IPS |
|
|
Object Detection (HP)
|
100% |
13761
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
19088
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3377
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
34669
411.9 IPS |
|
|
Face Detection (Q)
|
100% |
50960
605.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7151
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
78734
606.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
127996
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
21284
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
205495
264.2 IPS |
|
|
Style Transfer (Q)
|
96% |
252486
325.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5078
187.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34715
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59303
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3208
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3062
4.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3304
4.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3278
56.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6378
109.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7532
130.2 IPS |
