iPad15,8
Geekbench AI Score
3419
Single Precision Score
22693
Half Precision Score
26056
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 01 2025 02:10 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1351
251.3 IPS |
|
|
Image Classification (HP)
|
100% |
8507
1.58 KIPS |
|
|
Image Classification (Q)
|
97% |
11081
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1398
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15820
256.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
17088
277.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6294
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
100298
117.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
103584
121.4 IPS |
|
|
Object Detection (SP)
|
100% |
1490
118.2 IPS |
|
|
Object Detection (HP)
|
100% |
12587
998.4 IPS |
|
|
Object Detection (Q)
|
91% |
14239
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3182
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
31416
373.3 IPS |
|
|
Face Detection (Q)
|
100% |
39953
474.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5955
45.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
71365
549.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
90294
706.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18224
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
169089
217.4 IPS |
|
|
Style Transfer (Q)
|
96% |
171469
221.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3838
141.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32548
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35772
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2745
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
2407
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2795
3.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3390
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7178
123.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8353
144.4 IPS |
