iPhone 13 Pro
Geekbench AI Score
3240
Single Precision Score
5742
Half Precision Score
4636
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Petenka315 |
| Upload Date | April 27 2025 04:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1345
250.2 IPS |
|
|
Image Classification (HP)
|
100% |
2370
440.7 IPS |
|
|
Image Classification (Q)
|
96% |
1621
302.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1294
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1982
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2409
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6333
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
14551
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12138
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1426
113.1 IPS |
|
|
Object Detection (HP)
|
97% |
2718
216.4 IPS |
|
|
Object Detection (Q)
|
94% |
1933
154.1 IPS |
|
|
Face Detection (SP)
|
100% |
2668
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
5576
66.3 IPS |
|
|
Face Detection (Q)
|
100% |
3156
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5282
40.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10409
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7325
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17082
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27982
36.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22600
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3882
143.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4902
181.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3620
133.7 IPS |
|
|
Text Classification (SP)
|
100% |
2430
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4216
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4190
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3574
61.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6257
108.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6317
109.2 IPS |
