iPad16,6
Geekbench AI Score
4696
Single Precision Score
31157
Half Precision Score
40028
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Swissnightlover |
| Upload Date | August 16 2024 06:47 PM |
| Views | 11 |
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, 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% |
1987
369.6 IPS |
|
|
Image Classification (HP)
|
100% |
17535
3.26 KIPS |
|
|
Image Classification (Q)
|
99% |
19813
3.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13985
226.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
14029
227.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10033
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
118184
137.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
225177
264.1 IPS |
|
|
Object Detection (SP)
|
100% |
2217
175.8 IPS |
|
|
Object Detection (HP)
|
100% |
17221
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24965
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
3948
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
26249
311.9 IPS |
|
|
Face Detection (Q)
|
100% |
45678
542.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8281
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
82335
634.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
92572
715.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24982
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
168290
216.3 IPS |
|
|
Style Transfer (Q)
|
100% |
169007
217.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5842
215.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48589
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
85257
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5978
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
6185
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3943
67.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16352
281.7 IPS |
|
|
Machine Translation (Q)
|
98% |
17935
309.9 IPS |
