iPad Pro 13” 2024 iPad16,6
Geekbench AI Score
3268
Single Precision Score
18638
Half Precision Score
21629
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | gundar |
| Upload Date | August 15 2024 11:01 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1622
301.7 IPS |
|
|
Image Classification (HP)
|
100% |
8814
1.64 KIPS |
|
|
Image Classification (Q)
|
99% |
9866
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
963
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6825
110.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
6831
110.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9703
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
106848
124.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
180854
212.1 IPS |
|
|
Object Detection (SP)
|
100% |
1826
144.9 IPS |
|
|
Object Detection (HP)
|
100% |
11337
899.2 IPS |
|
|
Object Detection (Q)
|
93% |
13956
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3005
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
16095
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
19443
231.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5728
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
62415
480.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
67990
525.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14962
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
159282
204.8 IPS |
|
|
Style Transfer (Q)
|
100% |
159159
204.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4857
179.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22971
848.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
33541
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
1817
2.42 KIPS |
|
|
Text Classification (HP)
|
71% |
6287
9.04 KIPS |
|
|
Text Classification (Q)
|
69% |
6217
9.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2211
38.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3005
51.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3003
51.9 IPS |
