iPhone 13 Pro
Geekbench AI Score
3311
Single Precision Score
5736
Half Precision Score
4623
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EmilVitus |
| Upload Date | December 06 2024 02:04 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1365
253.8 IPS |
|
|
Image Classification (HP)
|
100% |
2366
440.0 IPS |
|
|
Image Classification (Q)
|
96% |
1628
304.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1311
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2004
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2492
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6676
7.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
14392
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12133
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1467
116.4 IPS |
|
|
Object Detection (HP)
|
97% |
2742
218.3 IPS |
|
|
Object Detection (Q)
|
94% |
1925
153.4 IPS |
|
|
Face Detection (SP)
|
100% |
2728
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
5749
68.3 IPS |
|
|
Face Detection (Q)
|
100% |
3274
38.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5620
43.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11231
86.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7662
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17937
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26990
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22375
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3949
145.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4935
182.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3528
130.3 IPS |
|
|
Text Classification (SP)
|
100% |
2440
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4142
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4112
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3414
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5794
100.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5789
100.0 IPS |
