iPad13,18
Geekbench AI Score
2574
Single Precision Score
4474
Half Precision Score
3676
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | jobieh |
| Upload Date | May 31 2025 06:13 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1144
212.7 IPS |
|
|
Image Classification (HP)
|
100% |
1844
343.0 IPS |
|
|
Image Classification (Q)
|
96% |
1286
240.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
930
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1558
25.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2005
32.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4716
5.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
9834
11.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
7300
8.56 IPS |
|
|
Object Detection (SP)
|
100% |
1146
90.9 IPS |
|
|
Object Detection (HP)
|
97% |
2054
163.5 IPS |
|
|
Object Detection (Q)
|
94% |
1557
124.1 IPS |
|
|
Face Detection (SP)
|
100% |
2478
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
4556
54.1 IPS |
|
|
Face Detection (Q)
|
100% |
2663
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4741
36.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
8835
68.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6401
50.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13283
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23039
29.6 IPS |
|
|
Style Transfer (Q)
|
96% |
19632
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2887
106.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4117
152.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3160
116.7 IPS |
|
|
Text Classification (SP)
|
100% |
2174
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
3623
4.84 KIPS |
|
|
Text Classification (Q)
|
93% |
3636
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2273
39.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4011
69.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4003
69.2 IPS |
