iPad13,18
Geekbench AI Score
2493
Single Precision Score
2871
Half Precision Score
2509
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1118
207.9 IPS |
|
|
Image Classification (HP)
|
100% |
1094
203.4 IPS |
|
|
Image Classification (Q)
|
97% |
907
169.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1304
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1605
26.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6145
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
8766
10.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
7674
8.99 IPS |
|
|
Object Detection (SP)
|
100% |
1248
99.0 IPS |
|
|
Object Detection (HP)
|
100% |
1265
100.3 IPS |
|
|
Object Detection (Q)
|
91% |
1026
82.0 IPS |
|
|
Face Detection (SP)
|
100% |
3361
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
3822
45.4 IPS |
|
|
Face Detection (Q)
|
100% |
2703
32.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4897
37.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5520
42.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
4520
35.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13275
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13670
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12827
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2872
106.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2989
110.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2485
91.8 IPS |
|
|
Text Classification (SP)
|
100% |
2043
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
3463
4.62 KIPS |
|
|
Text Classification (Q)
|
93% |
3446
4.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
652
11.2 IPS |
|
|
Machine Translation (Q)
|
98% |
645
11.1 IPS |
