iPad16,6
Geekbench AI Score
4706
Single Precision Score
36479
Half Precision Score
52398
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 02 2024 04:52 AM |
| Views | 32 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
2005
372.8 IPS |
|
|
Image Classification (HP)
|
100% |
16978
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
27820
5.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21900
355.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30277
490.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10049
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123481
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
233302
273.4 IPS |
|
|
Object Detection (SP)
|
100% |
2220
176.1 IPS |
|
|
Object Detection (HP)
|
100% |
18409
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25637
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
3986
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
43375
515.4 IPS |
|
|
Face Detection (Q)
|
100% |
62915
747.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8277
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98698
760.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
168684
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25083
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233781
300.5 IPS |
|
|
Style Transfer (Q)
|
96% |
298355
385.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5860
216.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49194
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84323
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3032
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
6101
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6425
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3845
66.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16438
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18053
312.0 IPS |
