iPhone 13 Pro
Geekbench AI Score
3297
Single Precision Score
19135
Half Precision Score
22973
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 25 2026 09:48 PM |
| Views | 7 |
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% |
1341
249.4 IPS |
|
|
Image Classification (HP)
|
100% |
8143
1.51 KIPS |
|
|
Image Classification (Q)
|
96% |
10850
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12478
202.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
12995
210.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6415
7.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
93059
108.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
95343
111.7 IPS |
|
|
Object Detection (SP)
|
100% |
1455
115.4 IPS |
|
|
Object Detection (HP)
|
99% |
10309
820.1 IPS |
|
|
Object Detection (Q)
|
91% |
11873
948.7 IPS |
|
|
Face Detection (SP)
|
100% |
2677
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
29216
347.2 IPS |
|
|
Face Detection (Q)
|
100% |
36681
435.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5397
41.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
56197
433.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
79394
620.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17611
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
151334
194.5 IPS |
|
|
Style Transfer (Q)
|
96% |
152646
197.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4009
148.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27717
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31255
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2491
3.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1639
2.19 KIPS |
|
|
Text Classification (Q)
|
93% |
2673
3.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3633
62.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5982
103.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6910
119.4 IPS |
