iPad16,2
Geekbench AI Score
4014
Single Precision Score
25537
Half Precision Score
36271
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 11 2025 07:45 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1727
321.1 IPS |
|
|
Image Classification (HP)
|
100% |
11105
2.07 KIPS |
|
|
Image Classification (Q)
|
97% |
15710
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1644
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16979
275.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21523
348.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8068
9.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
107800
125.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
207410
243.1 IPS |
|
|
Object Detection (SP)
|
100% |
1822
144.5 IPS |
|
|
Object Detection (HP)
|
100% |
13941
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
19396
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
3187
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
34411
408.9 IPS |
|
|
Face Detection (Q)
|
100% |
51467
611.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6985
53.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
78815
607.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
129187
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
21247
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
205557
264.2 IPS |
|
|
Style Transfer (Q)
|
96% |
255162
329.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4803
177.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34241
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58785
2.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3295
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
3293
4.40 KIPS |
|
|
Text Classification (Q)
|
93% |
3714
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3483
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6624
114.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7823
135.2 IPS |
