iPhone 13 Pro
Geekbench AI Score
3215
Single Precision Score
5684
Half Precision Score
4585
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | petebu |
| Upload Date | May 17 2025 03:42 PM |
| Views | 5 |
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% |
1356
252.1 IPS |
|
|
Image Classification (HP)
|
100% |
2362
439.2 IPS |
|
|
Image Classification (Q)
|
96% |
1632
304.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1283
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1959
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2407
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6082
7.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
14037
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11599
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1415
112.2 IPS |
|
|
Object Detection (HP)
|
97% |
2710
215.8 IPS |
|
|
Object Detection (Q)
|
94% |
1888
150.5 IPS |
|
|
Face Detection (SP)
|
100% |
2662
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
5515
65.5 IPS |
|
|
Face Detection (Q)
|
100% |
3102
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5258
40.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10406
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7262
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16933
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27519
35.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22242
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3793
140.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4844
178.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3618
133.6 IPS |
|
|
Text Classification (SP)
|
100% |
2477
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
4210
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4190
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3539
61.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6220
107.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6297
108.8 IPS |
