iPad16,3
Geekbench AI Score
4699
Single Precision Score
36524
Half Precision Score
51831
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | kddlb |
| Upload Date | November 17 2024 04:58 AM |
| Views | 12 |
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 | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1976
367.6 IPS |
|
|
Image Classification (HP)
|
100% |
16811
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
24485
4.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22051
357.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30509
494.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10060
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123810
144.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
233199
273.3 IPS |
|
|
Object Detection (SP)
|
100% |
2217
175.9 IPS |
|
|
Object Detection (HP)
|
100% |
18317
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25848
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
3986
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
43484
516.7 IPS |
|
|
Face Detection (Q)
|
100% |
62796
746.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8298
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98766
760.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
173355
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
25013
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
231127
297.1 IPS |
|
|
Style Transfer (Q)
|
96% |
298385
385.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5846
215.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48847
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82850
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2989
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
6227
8.31 KIPS |
|
|
Text Classification (Q)
|
93% |
6298
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3911
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16645
286.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18337
316.9 IPS |
