iPad15,6
Geekbench AI Score
4142
Single Precision Score
31038
Half Precision Score
34749
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 07:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| Model | iPad15,6 |
| Model ID | iPad15,6 |
| Motherboard | J638AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1616
300.6 IPS |
|
|
Image Classification (HP)
|
100% |
17396
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
19903
3.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1897
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21789
353.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
26667
432.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8934
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
121167
141.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
120908
141.7 IPS |
|
|
Object Detection (SP)
|
100% |
1820
144.3 IPS |
|
|
Object Detection (HP)
|
100% |
18252
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
20567
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
3577
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
39217
466.0 IPS |
|
|
Face Detection (Q)
|
100% |
50983
605.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7171
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
97922
754.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
123105
962.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22535
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
227213
292.1 IPS |
|
|
Style Transfer (Q)
|
96% |
220914
285.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5254
194.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46847
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55990
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2994
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5312
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5255
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3281
56.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4560
78.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4768
82.4 IPS |
