iPad16,6
Geekbench AI Score
8869
Single Precision Score
10592
Half Precision Score
7782
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | chrismclay |
| Upload Date | August 15 2024 10:01 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4505
837.9 IPS |
|
|
Image Classification (HP)
|
100% |
4941
918.8 IPS |
|
|
Image Classification (Q)
|
99% |
4518
842.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4905
79.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6745
109.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
6712
108.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
28298
33.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
30051
35.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
27618
32.3 IPS |
|
|
Object Detection (SP)
|
100% |
4758
377.4 IPS |
|
|
Object Detection (HP)
|
100% |
5294
419.9 IPS |
|
|
Object Detection (Q)
|
91% |
4139
330.7 IPS |
|
|
Face Detection (SP)
|
100% |
12843
152.6 IPS |
|
|
Face Detection (HP)
|
100% |
16255
193.1 IPS |
|
|
Face Detection (Q)
|
100% |
11650
138.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20335
156.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22531
173.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
3453
26.7 IPS |
|
|
Style Transfer (SP)
|
100% |
57245
73.6 IPS |
|
|
Style Transfer (HP)
|
100% |
67746
87.1 IPS |
|
|
Style Transfer (Q)
|
100% |
67249
86.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11589
427.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12676
468.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9649
357.5 IPS |
|
|
Text Classification (SP)
|
100% |
2996
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5259
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5347
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1952
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2028
34.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1684
29.1 IPS |
