iPad16,6
Geekbench AI Score
4696
Single Precision Score
36659
Half Precision Score
51538
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | SPD298 |
| Upload Date | November 11 2024 07:40 PM |
| Views | 30 |
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% |
1980
368.2 IPS |
|
|
Image Classification (HP)
|
100% |
17379
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
24899
4.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2113
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22046
357.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30246
490.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10019
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123604
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232628
272.7 IPS |
|
|
Object Detection (SP)
|
100% |
2208
175.1 IPS |
|
|
Object Detection (HP)
|
100% |
18482
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26362
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3950
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
42794
508.5 IPS |
|
|
Face Detection (Q)
|
100% |
63001
748.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8274
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
98476
758.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
167095
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25065
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
235100
302.2 IPS |
|
|
Style Transfer (Q)
|
96% |
297721
384.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5853
216.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48734
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83793
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3011
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
6309
8.42 KIPS |
|
|
Text Classification (Q)
|
93% |
6070
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3906
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16442
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
17959
310.3 IPS |
