iPad16,2
Geekbench AI Score
4211
Single Precision Score
4535
Half Precision Score
4448
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | medeirosdez |
| Upload Date | July 06 2025 09:09 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
846
157.2 IPS |
|
|
Image Classification (HP)
|
100% |
869
161.6 IPS |
|
|
Image Classification (Q)
|
96% |
836
156.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3536
57.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3836
62.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3646
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12382
14.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
13414
15.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
13314
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
2029
160.9 IPS |
|
|
Object Detection (HP)
|
100% |
1733
137.5 IPS |
|
|
Object Detection (Q)
|
92% |
1352
108.0 IPS |
|
|
Face Detection (SP)
|
100% |
5774
68.6 IPS |
|
|
Face Detection (HP)
|
100% |
5489
65.2 IPS |
|
|
Face Detection (Q)
|
100% |
5905
70.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10267
79.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10846
83.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10139
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26915
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29554
38.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29334
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3898
143.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3677
135.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3967
146.5 IPS |
|
|
Text Classification (SP)
|
100% |
3287
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
5707
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5779
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1143
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1288
22.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1375
23.8 IPS |
