iPhone 13 Pro
Geekbench AI Score
3259
Single Precision Score
20026
Half Precision Score
22611
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | April 16 2025 09:16 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1349
250.8 IPS |
|
|
Image Classification (HP)
|
100% |
7742
1.44 KIPS |
|
|
Image Classification (Q)
|
96% |
9085
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1304
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13161
213.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
14886
241.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6313
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
87488
102.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
94324
110.6 IPS |
|
|
Object Detection (SP)
|
100% |
1431
113.5 IPS |
|
|
Object Detection (HP)
|
99% |
10429
829.6 IPS |
|
|
Object Detection (Q)
|
91% |
11956
955.3 IPS |
|
|
Face Detection (SP)
|
100% |
2648
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
29122
346.0 IPS |
|
|
Face Detection (Q)
|
100% |
37084
440.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5324
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
55456
427.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
77149
602.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17438
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
166966
214.6 IPS |
|
|
Style Transfer (Q)
|
96% |
166116
214.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3868
142.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28867
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27772
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2450
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2346
3.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2472
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3661
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6111
105.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7020
121.3 IPS |
