iPhone 13 Pro
Geekbench AI Score
2970
Single Precision Score
4528
Half Precision Score
3743
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | astazyx |
| Upload Date | August 30 2024 03:45 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1412
262.6 IPS |
|
|
Image Classification (HP)
|
100% |
1763
327.9 IPS |
|
|
Image Classification (Q)
|
99% |
1748
326.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1147
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1130
18.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
1129
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5804
6.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
13554
15.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
11394
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1434
113.7 IPS |
|
|
Object Detection (HP)
|
97% |
2100
167.1 IPS |
|
|
Object Detection (Q)
|
94% |
1613
128.6 IPS |
|
|
Face Detection (SP)
|
100% |
2400
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
4014
47.7 IPS |
|
|
Face Detection (Q)
|
100% |
2574
30.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4909
37.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
7980
61.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
4006
31.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16195
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25277
32.5 IPS |
|
|
Style Transfer (Q)
|
100% |
25404
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3489
128.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4875
180.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3455
128.0 IPS |
|
|
Text Classification (SP)
|
100% |
2355
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3794
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3796
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2532
43.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4271
73.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4341
75.0 IPS |
