iPad16,4
Geekbench AI Score
4708
Single Precision Score
36085
Half Precision Score
49719
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 10:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,4 |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1992
370.4 IPS |
|
|
Image Classification (HP)
|
100% |
17002
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
25345
4.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16339
264.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
20493
332.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10079
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123277
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
230593
270.3 IPS |
|
|
Object Detection (SP)
|
100% |
2244
178.0 IPS |
|
|
Object Detection (HP)
|
100% |
18476
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
25871
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4006
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
42320
502.8 IPS |
|
|
Face Detection (Q)
|
100% |
60464
718.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8347
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99280
764.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
167292
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25266
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
232394
298.7 IPS |
|
|
Style Transfer (Q)
|
96% |
300383
387.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5842
215.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48724
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86031
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
7565
10.1 KIPS |
|
|
Text Classification (Q)
|
93% |
6288
8.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3896
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16442
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18124
313.2 IPS |
