iPhone 13 Pro
Geekbench AI Score
3294
Single Precision Score
5791
Half Precision Score
4692
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | NycDriipy |
| Upload Date | August 01 2025 07:05 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1357
252.3 IPS |
|
|
Image Classification (HP)
|
100% |
2408
447.8 IPS |
|
|
Image Classification (Q)
|
96% |
1669
311.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1970
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2453
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6382
7.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
14537
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11964
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1438
114.1 IPS |
|
|
Object Detection (HP)
|
97% |
2740
218.1 IPS |
|
|
Object Detection (Q)
|
94% |
1972
157.2 IPS |
|
|
Face Detection (SP)
|
100% |
2685
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
5599
66.5 IPS |
|
|
Face Detection (Q)
|
100% |
3179
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5380
41.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10589
81.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7423
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17375
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27914
35.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22800
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3804
140.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4818
177.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3649
134.8 IPS |
|
|
Text Classification (SP)
|
100% |
2601
3.47 KIPS |
|
|
Text Classification (HP)
|
99% |
4203
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4101
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3704
63.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6704
115.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6654
115.0 IPS |
