iPhone 13 Pro
Geekbench AI Score
3211
Single Precision Score
5735
Half Precision Score
4622
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 02 2025 03:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1326
246.7 IPS |
|
|
Image Classification (HP)
|
100% |
2359
438.8 IPS |
|
|
Image Classification (Q)
|
96% |
1635
305.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1273
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2022
32.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2421
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6179
7.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
14175
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11591
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1421
112.7 IPS |
|
|
Object Detection (HP)
|
97% |
2728
217.2 IPS |
|
|
Object Detection (Q)
|
94% |
1925
153.4 IPS |
|
|
Face Detection (SP)
|
100% |
2676
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
5564
66.1 IPS |
|
|
Face Detection (Q)
|
100% |
3116
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5309
40.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10399
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7319
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17084
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27741
35.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22660
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3816
140.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4893
180.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3649
134.7 IPS |
|
|
Text Classification (SP)
|
100% |
2480
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
4279
5.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4237
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3427
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6211
107.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6317
109.2 IPS |
