iPhone 13 Pro
Geekbench AI Score
3314
Single Precision Score
5733
Half Precision Score
4652
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 23 2024 10:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 13 Pro |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1353
251.7 IPS |
|
|
Image Classification (HP)
|
100% |
2357
438.3 IPS |
|
|
Image Classification (Q)
|
96% |
1633
304.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2026
32.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2480
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6648
7.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
14304
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12192
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1487
118.0 IPS |
|
|
Object Detection (HP)
|
97% |
2764
220.0 IPS |
|
|
Object Detection (Q)
|
94% |
1951
155.5 IPS |
|
|
Face Detection (SP)
|
100% |
2705
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
5806
69.0 IPS |
|
|
Face Detection (Q)
|
100% |
3267
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5512
42.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11263
87.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7669
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17932
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26991
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22568
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4001
147.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4683
172.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3514
129.8 IPS |
|
|
Text Classification (SP)
|
100% |
2481
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
4210
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4231
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3433
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5841
100.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5872
101.5 IPS |
