iPhone 13 Pro
Geekbench AI Score
3297
Single Precision Score
18449
Half Precision Score
21780
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Sparrrxw |
| Upload Date | March 20 2025 01:45 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1355
252.0 IPS |
|
|
Image Classification (HP)
|
100% |
7878
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
9066
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1305
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12273
199.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13525
219.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6604
7.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
85702
100.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
93617
109.7 IPS |
|
|
Object Detection (SP)
|
100% |
1486
117.8 IPS |
|
|
Object Detection (HP)
|
99% |
10534
838.0 IPS |
|
|
Object Detection (Q)
|
91% |
11942
954.2 IPS |
|
|
Face Detection (SP)
|
100% |
2703
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
24948
296.4 IPS |
|
|
Face Detection (Q)
|
100% |
33887
402.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5506
42.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
54127
417.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
75950
593.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17815
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
153171
196.9 IPS |
|
|
Style Transfer (Q)
|
96% |
153005
197.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3951
145.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26313
971.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28407
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2405
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
1591
2.12 KIPS |
|
|
Text Classification (Q)
|
93% |
2305
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3476
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6047
104.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6796
117.4 IPS |
