iPhone 13 Pro
Geekbench AI Score
3313
Single Precision Score
19815
Half Precision Score
22358
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 20 2025 02:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1353
251.7 IPS |
|
|
Image Classification (HP)
|
100% |
8740
1.63 KIPS |
|
|
Image Classification (Q)
|
96% |
9670
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12766
207.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
14348
232.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6573
7.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
84791
98.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
93261
109.3 IPS |
|
|
Object Detection (SP)
|
100% |
1485
117.8 IPS |
|
|
Object Detection (HP)
|
99% |
10664
848.3 IPS |
|
|
Object Detection (Q)
|
91% |
11655
931.3 IPS |
|
|
Face Detection (SP)
|
100% |
2711
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
26693
317.2 IPS |
|
|
Face Detection (Q)
|
100% |
36716
436.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5479
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
52239
402.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
72153
563.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17854
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
150646
193.7 IPS |
|
|
Style Transfer (Q)
|
96% |
152524
196.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4009
148.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28349
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29354
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2465
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2557
3.41 KIPS |
|
|
Text Classification (Q)
|
93% |
2512
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3526
60.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6076
104.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6947
120.0 IPS |
