iPhone 13 Pro
Geekbench AI Score
3338
Single Precision Score
3609
Half Precision Score
3486
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Egon2016 |
| Upload Date | August 06 2025 01:03 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
839
156.0 IPS |
|
|
Image Classification (HP)
|
100% |
651
121.1 IPS |
|
|
Image Classification (Q)
|
96% |
643
120.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2694
43.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2920
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2686
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11212
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12634
14.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
12300
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1372
108.8 IPS |
|
|
Object Detection (HP)
|
100% |
1209
95.9 IPS |
|
|
Object Detection (Q)
|
92% |
1272
101.5 IPS |
|
|
Face Detection (SP)
|
100% |
4273
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
4646
55.2 IPS |
|
|
Face Detection (Q)
|
100% |
4210
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8146
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8922
68.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
8458
66.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18905
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23694
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22669
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3892
143.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3705
136.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3486
128.7 IPS |
|
|
Text Classification (SP)
|
100% |
2457
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4249
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4182
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
785
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
837
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
834
14.4 IPS |
