iPad16,2
Geekbench AI Score
4067
Single Precision Score
24877
Half Precision Score
35032
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 03:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| 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% |
1743
324.2 IPS |
|
|
Image Classification (HP)
|
100% |
11282
2.10 KIPS |
|
|
Image Classification (Q)
|
97% |
15394
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1669
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15905
257.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21132
342.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8043
9.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
107366
125.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
204196
239.3 IPS |
|
|
Object Detection (SP)
|
100% |
1852
146.9 IPS |
|
|
Object Detection (HP)
|
100% |
13829
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19264
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3411
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
34724
412.6 IPS |
|
|
Face Detection (Q)
|
100% |
50426
599.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7255
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78903
607.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
129234
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
21732
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
205692
264.4 IPS |
|
|
Style Transfer (Q)
|
96% |
254140
328.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4979
183.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34556
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55840
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2746
3.66 KIPS |
|
|
Text Classification (Q)
|
93% |
3048
4.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3333
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6372
109.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7719
133.4 IPS |
