iPad16,1
Geekbench AI Score
3961
Single Precision Score
24851
Half Precision Score
35117
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 08:29 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1747
324.9 IPS |
|
|
Image Classification (HP)
|
100% |
10675
1.99 KIPS |
|
|
Image Classification (Q)
|
97% |
15518
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1652
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15818
256.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
20996
340.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7562
8.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
104611
122.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
204593
239.8 IPS |
|
|
Object Detection (SP)
|
100% |
1789
141.9 IPS |
|
|
Object Detection (HP)
|
100% |
13475
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
18977
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3372
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
34752
412.9 IPS |
|
|
Face Detection (Q)
|
100% |
51459
611.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6899
53.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
78986
608.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
127962
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
20418
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
202927
260.9 IPS |
|
|
Style Transfer (Q)
|
96% |
252025
325.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4861
179.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34208
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57433
2.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3106
4.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3279
4.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3302
56.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6379
109.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7215
124.7 IPS |
