iPad16,4
Geekbench AI Score
4698
Single Precision Score
30928
Half Precision Score
39529
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | jimscard |
| Upload Date | August 16 2024 06:39 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,4 |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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 | 15.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2006
373.1 IPS |
|
|
Image Classification (HP)
|
100% |
16881
3.14 KIPS |
|
|
Image Classification (Q)
|
99% |
18497
3.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14017
227.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
13981
226.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10051
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
117719
137.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
223738
262.4 IPS |
|
|
Object Detection (SP)
|
100% |
2220
176.1 IPS |
|
|
Object Detection (HP)
|
100% |
16724
1.33 KIPS |
|
|
Object Detection (Q)
|
91% |
24662
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
3967
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
26374
313.4 IPS |
|
|
Face Detection (Q)
|
100% |
45388
539.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8288
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
82851
638.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
92036
711.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25058
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
168018
216.0 IPS |
|
|
Style Transfer (Q)
|
100% |
168771
217.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5863
216.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48293
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
81832
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2975
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5985
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
6360
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3893
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16202
279.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17793
307.5 IPS |
