iPad16,2
Geekbench AI Score
4150
Single Precision Score
4855
Half Precision Score
4524
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | gnu08 |
| Upload Date | November 12 2025 04:44 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1004
186.7 IPS |
|
|
Image Classification (HP)
|
100% |
1396
259.7 IPS |
|
|
Image Classification (Q)
|
96% |
942
175.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3673
59.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3825
62.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3695
59.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11638
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
13456
15.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
12926
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1528
121.2 IPS |
|
|
Object Detection (HP)
|
100% |
1526
121.0 IPS |
|
|
Object Detection (Q)
|
92% |
1610
128.5 IPS |
|
|
Face Detection (SP)
|
100% |
5769
68.6 IPS |
|
|
Face Detection (HP)
|
100% |
6448
76.6 IPS |
|
|
Face Detection (Q)
|
100% |
5867
69.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9914
76.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
10915
84.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10114
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25108
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28938
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28722
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4378
161.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3927
145.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4189
154.7 IPS |
|
|
Text Classification (SP)
|
100% |
3233
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5549
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5468
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1139
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1496
25.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1270
22.0 IPS |
