iPhone 13 Pro
Geekbench AI Score
2174
Single Precision Score
10523
Half Precision Score
11990
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | pgfunny124 |
| Upload Date | April 19 2025 05:00 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.2 |
| 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% |
1196
222.5 IPS |
|
|
Image Classification (HP)
|
100% |
4305
800.6 IPS |
|
|
Image Classification (Q)
|
96% |
5225
975.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
654
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3786
61.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6091
98.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5554
6.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
70772
82.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
75812
88.9 IPS |
|
|
Object Detection (SP)
|
100% |
1197
95.0 IPS |
|
|
Object Detection (HP)
|
99% |
4784
380.5 IPS |
|
|
Object Detection (Q)
|
93% |
6118
488.1 IPS |
|
|
Face Detection (SP)
|
100% |
1918
22.8 IPS |
|
|
Face Detection (HP)
|
100% |
10525
125.1 IPS |
|
|
Face Detection (Q)
|
100% |
12762
151.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3653
28.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
34569
266.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
43624
340.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10337
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
98586
126.7 IPS |
|
|
Style Transfer (Q)
|
95% |
84471
109.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3117
115.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13077
482.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15435
569.9 IPS |
|
|
Text Classification (SP)
|
100% |
1287
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
3032
4.05 KIPS |
|
|
Text Classification (Q)
|
93% |
2700
3.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1561
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2122
36.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2123
36.7 IPS |
