iPhone 13 Pro
Geekbench AI Score
3097
Single Precision Score
3307
Half Precision Score
3173
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Petenka315 |
| Upload Date | August 17 2024 01:58 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1261
234.6 IPS |
|
|
Image Classification (HP)
|
100% |
1550
288.2 IPS |
|
|
Image Classification (Q)
|
99% |
1590
296.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2260
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2453
39.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
2454
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10653
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11358
13.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11017
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1946
154.4 IPS |
|
|
Object Detection (HP)
|
100% |
1956
155.1 IPS |
|
|
Object Detection (Q)
|
92% |
1589
126.9 IPS |
|
|
Face Detection (SP)
|
100% |
4708
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
6026
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3901
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8439
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9065
69.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
9054
70.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17100
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21328
27.4 IPS |
|
|
Style Transfer (Q)
|
100% |
22854
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4617
170.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4703
173.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3892
144.2 IPS |
|
|
Text Classification (SP)
|
100% |
507
676.9 IPS |
|
|
Text Classification (HP)
|
100% |
371
494.7 IPS |
|
|
Text Classification (Q)
|
93% |
370
497.0 IPS |
|
|
Machine Translation (SP)
|
100% |
866
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
912
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1303
22.5 IPS |
