iPad16,3
Geekbench AI Score
4695
Single Precision Score
35060
Half Precision Score
50067
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 10:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 15.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1997
371.3 IPS |
|
|
Image Classification (HP)
|
100% |
17318
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
24552
4.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16307
264.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
20454
331.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10060
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122986
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
229814
269.4 IPS |
|
|
Object Detection (SP)
|
100% |
2222
176.2 IPS |
|
|
Object Detection (HP)
|
100% |
18186
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26016
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3953
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
41325
491.0 IPS |
|
|
Face Detection (Q)
|
100% |
60337
716.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8283
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
97933
754.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
166899
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
25133
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
230048
295.7 IPS |
|
|
Style Transfer (Q)
|
96% |
293778
379.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5868
216.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48537
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84595
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5981
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
7329
9.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3862
66.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16441
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
17973
310.6 IPS |
