iPhone 13
Geekbench AI Score
3177
Single Precision Score
5576
Half Precision Score
4521
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 14 2025 03:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPhone 13 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1300
241.7 IPS |
|
|
Image Classification (HP)
|
100% |
2356
438.2 IPS |
|
|
Image Classification (Q)
|
96% |
1616
301.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1304
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1950
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2410
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6092
7.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
13797
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11370
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1394
110.6 IPS |
|
|
Object Detection (HP)
|
97% |
2630
209.4 IPS |
|
|
Object Detection (Q)
|
94% |
1882
150.0 IPS |
|
|
Face Detection (SP)
|
100% |
2716
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
5358
63.7 IPS |
|
|
Face Detection (Q)
|
100% |
3048
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5216
40.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10359
80.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7269
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16514
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26871
34.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21874
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3680
135.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4739
175.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3575
132.0 IPS |
|
|
Text Classification (SP)
|
100% |
2376
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4046
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4018
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3568
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6098
105.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6161
106.5 IPS |
