iPhone 13 Pro
Geekbench AI Score
3240
Single Precision Score
19250
Half Precision Score
21183
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | July 23 2025 01:19 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1339
249.0 IPS |
|
|
Image Classification (HP)
|
100% |
9394
1.75 KIPS |
|
|
Image Classification (Q)
|
96% |
11008
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1273
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12970
210.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13322
216.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5686
6.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
76762
89.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
81375
95.4 IPS |
|
|
Object Detection (SP)
|
100% |
1429
113.4 IPS |
|
|
Object Detection (HP)
|
99% |
10400
827.3 IPS |
|
|
Object Detection (Q)
|
91% |
11540
922.1 IPS |
|
|
Face Detection (SP)
|
100% |
2693
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
25215
299.6 IPS |
|
|
Face Detection (Q)
|
100% |
33530
398.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5364
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
51211
394.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
67162
524.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16978
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
149588
192.3 IPS |
|
|
Style Transfer (Q)
|
96% |
133640
172.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3918
144.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26940
994.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26809
989.9 IPS |
|
|
Text Classification (SP)
|
100% |
2596
3.46 KIPS |
|
|
Text Classification (HP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (Q)
|
93% |
2423
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3692
63.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6004
103.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6759
116.8 IPS |
