iPad16,6
Geekbench AI Score
4668
Single Precision Score
30442
Half Precision Score
38717
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | aenewton |
| Upload Date | August 20 2024 05:58 AM |
| Views | 17 |
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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1959
364.3 IPS |
|
|
Image Classification (HP)
|
100% |
16229
3.02 KIPS |
|
|
Image Classification (Q)
|
99% |
18412
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13943
226.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
14032
227.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9743
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
118626
138.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
223105
261.7 IPS |
|
|
Object Detection (SP)
|
100% |
2198
174.3 IPS |
|
|
Object Detection (HP)
|
100% |
16705
1.33 KIPS |
|
|
Object Detection (Q)
|
91% |
24943
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
3994
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
26023
309.2 IPS |
|
|
Face Detection (Q)
|
100% |
45498
540.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8221
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
81654
629.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
92396
714.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24864
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
168263
216.3 IPS |
|
|
Style Transfer (Q)
|
100% |
168485
216.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5784
213.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48174
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
81678
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3026
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5555
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5366
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3863
66.5 IPS |
|
|
Machine Translation (HP)
|
100% |
15934
274.5 IPS |
|
|
Machine Translation (Q)
|
98% |
16962
293.1 IPS |
