iPad16,3
Geekbench AI Score
4696
Single Precision Score
34032
Half Precision Score
47372
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | robbyt |
| Upload Date | September 16 2024 05:09 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1975
367.3 IPS |
|
|
Image Classification (HP)
|
100% |
17331
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
24645
4.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16487
267.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
20854
338.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10034
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123419
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232130
272.1 IPS |
|
|
Object Detection (SP)
|
100% |
2214
175.6 IPS |
|
|
Object Detection (HP)
|
100% |
18162
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25576
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
3978
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
42347
503.2 IPS |
|
|
Face Detection (Q)
|
100% |
60375
717.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8293
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98685
760.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
167140
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25024
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
170415
219.1 IPS |
|
|
Style Transfer (Q)
|
96% |
203113
262.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5826
215.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48418
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84494
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2996
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5747
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5826
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3917
67.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16422
282.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18488
319.5 IPS |
