iPad13,18
Geekbench AI Score
2690
Single Precision Score
12991
Half Precision Score
13259
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 23 2025 09:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1184
220.1 IPS |
|
|
Image Classification (HP)
|
100% |
4439
825.6 IPS |
|
|
Image Classification (Q)
|
96% |
4804
897.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
994
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8120
131.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8246
133.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5357
6.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
62066
72.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
63533
74.5 IPS |
|
|
Object Detection (SP)
|
100% |
1270
100.7 IPS |
|
|
Object Detection (HP)
|
99% |
6353
505.4 IPS |
|
|
Object Detection (Q)
|
91% |
5929
473.8 IPS |
|
|
Face Detection (SP)
|
100% |
2446
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
14827
176.2 IPS |
|
|
Face Detection (Q)
|
100% |
12692
150.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4866
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
38826
299.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
38573
301.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14010
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
94478
121.5 IPS |
|
|
Style Transfer (Q)
|
96% |
97384
125.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3008
111.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17311
639.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18569
685.7 IPS |
|
|
Text Classification (SP)
|
100% |
2156
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (Q)
|
93% |
2355
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2296
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4465
76.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5398
93.3 IPS |
