iPad16,1
Geekbench AI Score
3888
Single Precision Score
25487
Half Precision Score
35751
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 02:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.77 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1742
324.0 IPS |
|
|
Image Classification (HP)
|
100% |
10868
2.02 KIPS |
|
|
Image Classification (Q)
|
97% |
15324
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1630
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16738
271.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21512
348.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7243
8.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
101855
118.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
205143
240.4 IPS |
|
|
Object Detection (SP)
|
100% |
1748
138.6 IPS |
|
|
Object Detection (HP)
|
100% |
13733
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
19139
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3293
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
35809
425.5 IPS |
|
|
Face Detection (Q)
|
100% |
53242
632.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6681
51.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
77888
600.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
127686
998.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19621
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
206889
266.0 IPS |
|
|
Style Transfer (Q)
|
96% |
257744
332.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4585
169.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34390
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57684
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3263
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
3268
4.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3439
4.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3402
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7011
120.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7582
131.0 IPS |
