iPad16,6
Geekbench AI Score
4705
Single Precision Score
30996
Half Precision Score
39659
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | gbenchgs |
| Upload Date | August 20 2024 09:28 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2001
372.2 IPS |
|
|
Image Classification (HP)
|
100% |
17088
3.18 KIPS |
|
|
Image Classification (Q)
|
99% |
18947
3.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13992
226.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
13996
226.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10031
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
117742
137.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
224241
263.0 IPS |
|
|
Object Detection (SP)
|
100% |
2241
177.7 IPS |
|
|
Object Detection (HP)
|
100% |
16794
1.33 KIPS |
|
|
Object Detection (Q)
|
91% |
25084
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4023
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
26380
313.4 IPS |
|
|
Face Detection (Q)
|
100% |
45450
540.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8327
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
82849
638.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
91874
710.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25157
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
167947
215.9 IPS |
|
|
Style Transfer (Q)
|
100% |
168712
216.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5847
215.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48773
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
83122
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2937
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5967
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
6155
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3873
66.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16210
279.2 IPS |
|
|
Machine Translation (Q)
|
98% |
17906
309.4 IPS |
