iPhone 13 Pro
Geekbench AI Score
3274
Single Precision Score
5662
Half Precision Score
4580
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ricnecro |
| Upload Date | October 15 2024 12:29 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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
251.6 IPS |
|
|
Image Classification (HP)
|
100% |
2353
437.6 IPS |
|
|
Image Classification (Q)
|
96% |
1626
303.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1315
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2002
32.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2474
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6346
7.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
14029
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11875
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1441
114.3 IPS |
|
|
Object Detection (HP)
|
97% |
2723
216.8 IPS |
|
|
Object Detection (Q)
|
94% |
1933
154.1 IPS |
|
|
Face Detection (SP)
|
100% |
2762
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
5743
68.2 IPS |
|
|
Face Detection (Q)
|
100% |
3205
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5503
42.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11133
86.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7591
59.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17569
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26756
34.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22271
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3925
144.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4735
174.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3497
129.1 IPS |
|
|
Text Classification (SP)
|
100% |
2427
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4089
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4090
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3423
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5684
98.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5680
98.2 IPS |
