iPad16,6
Geekbench AI Score
4684
Single Precision Score
31211
Half Precision Score
39690
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | aggrobot |
| Upload Date | August 16 2024 02:25 AM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1999
371.8 IPS |
|
|
Image Classification (HP)
|
100% |
17037
3.17 KIPS |
|
|
Image Classification (Q)
|
99% |
18860
3.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2100
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13998
226.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
14019
227.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9988
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
117938
137.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
224227
263.0 IPS |
|
|
Object Detection (SP)
|
100% |
2237
177.4 IPS |
|
|
Object Detection (HP)
|
100% |
16900
1.34 KIPS |
|
|
Object Detection (Q)
|
91% |
25358
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
3922
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
26672
316.9 IPS |
|
|
Face Detection (Q)
|
100% |
45585
541.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8268
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
82513
635.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
91568
708.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25161
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
168366
216.4 IPS |
|
|
Style Transfer (Q)
|
100% |
168817
217.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5862
216.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48966
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
81219
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2925
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
6186
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6245
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3877
66.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16445
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18055
312.0 IPS |
