iPad16,5
Geekbench AI Score
4697
Single Precision Score
35184
Half Precision Score
49250
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | September 18 2024 12:36 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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% |
1983
368.9 IPS |
|
|
Image Classification (HP)
|
100% |
17128
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
23478
4.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2173
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16346
265.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
20466
331.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10040
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122911
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
230537
270.2 IPS |
|
|
Object Detection (SP)
|
100% |
2214
175.6 IPS |
|
|
Object Detection (HP)
|
100% |
19032
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
26908
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3978
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
41524
493.4 IPS |
|
|
Face Detection (Q)
|
100% |
60474
718.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8299
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98467
758.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
166971
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25065
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
232605
299.0 IPS |
|
|
Style Transfer (Q)
|
96% |
295409
381.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5744
212.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48681
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84697
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2946
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5830
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
6186
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3902
67.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16447
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18026
311.5 IPS |
