iPad16,3
Geekbench AI Score
4778
Single Precision Score
31440
Half Precision Score
39946
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | alpha_p |
| Upload Date | August 16 2024 02:26 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1979
368.1 IPS |
|
|
Image Classification (HP)
|
100% |
16348
3.04 KIPS |
|
|
Image Classification (Q)
|
99% |
18687
3.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2101
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14046
227.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
14186
230.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10051
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
118666
138.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
224612
263.5 IPS |
|
|
Object Detection (SP)
|
100% |
2220
176.1 IPS |
|
|
Object Detection (HP)
|
100% |
17493
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25416
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
3983
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
26423
314.0 IPS |
|
|
Face Detection (Q)
|
100% |
45621
542.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8305
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
83030
639.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
92362
714.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25036
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
168365
216.4 IPS |
|
|
Style Transfer (Q)
|
100% |
168291
216.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5866
216.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50822
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
82464
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3500
4.67 KIPS |
|
|
Text Classification (HP)
|
100% |
6338
8.46 KIPS |
|
|
Text Classification (Q)
|
93% |
6400
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3936
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16640
286.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18266
315.7 IPS |
