iPhone 13 Pro
Geekbench AI Score
3240
Single Precision Score
5649
Half Precision Score
4561
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | cloudit0 |
| Upload Date | February 01 2025 07:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1352
251.4 IPS |
|
|
Image Classification (HP)
|
100% |
2356
438.2 IPS |
|
|
Image Classification (Q)
|
96% |
1626
303.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1304
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2060
33.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2468
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6336
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
13770
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11760
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1439
114.2 IPS |
|
|
Object Detection (HP)
|
97% |
2724
216.8 IPS |
|
|
Object Detection (Q)
|
94% |
1918
152.9 IPS |
|
|
Face Detection (SP)
|
100% |
2655
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
5678
67.5 IPS |
|
|
Face Detection (Q)
|
100% |
3220
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5342
41.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10984
84.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7509
58.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17496
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26876
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22226
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3919
144.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4551
168.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3450
127.4 IPS |
|
|
Text Classification (SP)
|
100% |
2401
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4163
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4094
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3398
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5728
99.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5673
98.0 IPS |
