iPhone 13 Pro
Geekbench AI Score
3925
Single Precision Score
4431
Half Precision Score
4230
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | HNSDMPF |
| Upload Date | June 17 2025 01:43 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1645
306.0 IPS |
|
|
Image Classification (HP)
|
100% |
1518
282.3 IPS |
|
|
Image Classification (Q)
|
96% |
1596
298.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2815
45.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2868
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2767
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11277
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12706
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12364
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
2002
158.8 IPS |
|
|
Object Detection (HP)
|
100% |
1993
158.1 IPS |
|
|
Object Detection (Q)
|
92% |
1838
146.7 IPS |
|
|
Face Detection (SP)
|
100% |
4852
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
6054
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
4830
57.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8435
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9178
70.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
8443
65.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18842
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23766
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23293
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4721
174.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5027
185.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4476
165.3 IPS |
|
|
Text Classification (SP)
|
100% |
2427
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4117
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4096
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
940
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
969
16.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1051
18.2 IPS |
