iPhone 13 Pro
Geekbench AI Score
3295
Single Precision Score
5709
Half Precision Score
4623
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Fritzt |
| Upload Date | March 02 2025 06:57 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1354
251.8 IPS |
|
|
Image Classification (HP)
|
100% |
2363
439.5 IPS |
|
|
Image Classification (Q)
|
96% |
1623
303.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2017
32.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2487
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6627
7.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
14209
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12244
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1477
117.2 IPS |
|
|
Object Detection (HP)
|
97% |
2750
219.0 IPS |
|
|
Object Detection (Q)
|
94% |
1940
154.6 IPS |
|
|
Face Detection (SP)
|
100% |
2708
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
5833
69.3 IPS |
|
|
Face Detection (Q)
|
100% |
3279
39.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5485
42.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11156
86.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7655
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17857
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27074
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22447
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3966
146.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4714
174.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3491
128.9 IPS |
|
|
Text Classification (SP)
|
100% |
2424
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4143
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4139
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3408
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5746
99.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5722
98.9 IPS |
