iPad13,18
Geekbench AI Score
2636
Single Precision Score
11977
Half Precision Score
11981
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 12:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad13,18 |
| Model ID | iPad13,18 |
| Motherboard | J271AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1178
219.1 IPS |
|
|
Image Classification (HP)
|
100% |
4373
813.3 IPS |
|
|
Image Classification (Q)
|
96% |
4638
866.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1027
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7658
124.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7816
126.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4920
5.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
58826
68.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
61066
71.6 IPS |
|
|
Object Detection (SP)
|
100% |
1232
97.8 IPS |
|
|
Object Detection (HP)
|
99% |
5292
420.9 IPS |
|
|
Object Detection (Q)
|
91% |
4711
376.4 IPS |
|
|
Face Detection (SP)
|
100% |
2404
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
11430
135.8 IPS |
|
|
Face Detection (Q)
|
100% |
10100
120.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4836
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
37632
289.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
35556
277.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13430
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
92016
118.3 IPS |
|
|
Style Transfer (Q)
|
96% |
89643
115.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2745
101.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18134
669.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17969
663.5 IPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2383
3.18 KIPS |
|
|
Text Classification (Q)
|
93% |
2437
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2245
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3408
58.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4147
71.7 IPS |
