iPhone 13 Pro
Geekbench AI Score
3014
Single Precision Score
4515
Half Precision Score
3894
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | aibosony |
| Upload Date | September 10 2024 09:53 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1420
264.1 IPS |
|
|
Image Classification (HP)
|
100% |
1786
332.1 IPS |
|
|
Image Classification (Q)
|
96% |
1357
253.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1151
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1136
18.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1678
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5994
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
13788
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11825
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1490
118.2 IPS |
|
|
Object Detection (HP)
|
97% |
2138
170.2 IPS |
|
|
Object Detection (Q)
|
94% |
1635
130.3 IPS |
|
|
Face Detection (SP)
|
100% |
2439
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
4087
48.6 IPS |
|
|
Face Detection (Q)
|
100% |
2643
31.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5086
39.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
8148
63.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
6164
48.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16441
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25578
32.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21382
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3581
132.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4658
172.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3529
130.3 IPS |
|
|
Text Classification (SP)
|
100% |
2349
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3440
4.59 KIPS |
|
|
Text Classification (Q)
|
93% |
3431
4.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2477
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4321
74.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4323
74.7 IPS |
