iPad16,3
Geekbench AI Score
4831
Single Precision Score
30914
Half Precision Score
39557
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Martythebrit |
| Upload Date | August 15 2024 09:54 PM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2013
374.4 IPS |
|
|
Image Classification (HP)
|
100% |
17113
3.18 KIPS |
|
|
Image Classification (Q)
|
99% |
18517
3.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14001
227.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
14043
227.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10079
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
117679
137.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
224535
263.4 IPS |
|
|
Object Detection (SP)
|
100% |
2227
176.7 IPS |
|
|
Object Detection (HP)
|
100% |
16724
1.33 KIPS |
|
|
Object Detection (Q)
|
91% |
25008
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4005
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
26537
315.3 IPS |
|
|
Face Detection (Q)
|
100% |
45472
540.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8325
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
82444
635.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
92435
714.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25159
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
168952
217.2 IPS |
|
|
Style Transfer (Q)
|
100% |
168837
217.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5964
220.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48098
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
79491
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3493
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
5881
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
6365
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4066
70.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16170
278.5 IPS |
|
|
Machine Translation (Q)
|
98% |
17893
309.2 IPS |
