iPhone 13 Pro
Geekbench AI Score
3167
Single Precision Score
19003
Half Precision Score
22292
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 05 2025 01:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1331
247.6 IPS |
|
|
Image Classification (HP)
|
100% |
8237
1.53 KIPS |
|
|
Image Classification (Q)
|
96% |
9501
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1255
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12694
205.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
14871
241.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6046
7.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
87317
101.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
96529
113.1 IPS |
|
|
Object Detection (SP)
|
100% |
1418
112.4 IPS |
|
|
Object Detection (HP)
|
99% |
10490
834.4 IPS |
|
|
Object Detection (Q)
|
91% |
12053
963.1 IPS |
|
|
Face Detection (SP)
|
100% |
2607
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
28577
339.6 IPS |
|
|
Face Detection (Q)
|
100% |
36263
430.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5194
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
55851
430.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
74765
584.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16489
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
148743
191.2 IPS |
|
|
Style Transfer (Q)
|
96% |
155083
200.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3704
136.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28117
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28039
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2447
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1566
2.09 KIPS |
|
|
Text Classification (Q)
|
93% |
2213
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3507
60.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6136
105.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7068
122.1 IPS |
