iPhone 13 Pro
Geekbench AI Score
3971
Single Precision Score
4510
Half Precision Score
4259
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | petebu |
| Upload Date | May 17 2025 03:46 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1693
314.9 IPS |
|
|
Image Classification (HP)
|
100% |
1536
285.7 IPS |
|
|
Image Classification (Q)
|
96% |
1576
294.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2777
45.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2906
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2827
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11223
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12650
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12312
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1999
158.5 IPS |
|
|
Object Detection (HP)
|
100% |
2023
160.4 IPS |
|
|
Object Detection (Q)
|
92% |
1861
148.6 IPS |
|
|
Face Detection (SP)
|
100% |
4877
58.0 IPS |
|
|
Face Detection (HP)
|
100% |
6148
73.1 IPS |
|
|
Face Detection (Q)
|
100% |
4995
59.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8497
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9234
71.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8523
66.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18895
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23809
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23017
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4934
182.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5076
187.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4437
163.8 IPS |
|
|
Text Classification (SP)
|
100% |
2457
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4385
5.85 KIPS |
|
|
Text Classification (Q)
|
93% |
4307
5.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
976
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1014
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1029
17.8 IPS |
