iPad15,8
Geekbench AI Score
3383
Single Precision Score
6242
Half Precision Score
5117
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 01 2025 02:05 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad15,8 |
| Model ID | iPad15,8 |
| Motherboard | J482AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1301
241.9 IPS |
|
|
Image Classification (HP)
|
100% |
2646
492.1 IPS |
|
|
Image Classification (Q)
|
96% |
1830
341.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1395
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2667
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6240
7.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
15146
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12642
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1461
115.9 IPS |
|
|
Object Detection (HP)
|
97% |
2941
234.2 IPS |
|
|
Object Detection (Q)
|
94% |
2117
168.7 IPS |
|
|
Face Detection (SP)
|
100% |
3122
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6162
73.2 IPS |
|
|
Face Detection (Q)
|
100% |
3510
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5915
45.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11682
90.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8225
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17961
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29106
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24176
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3831
141.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5156
190.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3917
144.6 IPS |
|
|
Text Classification (SP)
|
100% |
2743
3.66 KIPS |
|
|
Text Classification (HP)
|
99% |
4756
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4916
6.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3409
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7011
121.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7022
121.4 IPS |
