iPhone 13 Pro
Geekbench AI Score
3041
Single Precision Score
19296
Half Precision Score
21322
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | December 07 2025 02:11 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1085
201.8 IPS |
|
|
Image Classification (HP)
|
100% |
7961
1.48 KIPS |
|
|
Image Classification (Q)
|
96% |
9103
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1108
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13082
212.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13554
219.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5831
6.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
76237
89.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
80755
94.6 IPS |
|
|
Object Detection (SP)
|
100% |
1322
104.8 IPS |
|
|
Object Detection (HP)
|
99% |
10388
826.4 IPS |
|
|
Object Detection (Q)
|
91% |
11885
949.6 IPS |
|
|
Face Detection (SP)
|
100% |
2561
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
25660
304.9 IPS |
|
|
Face Detection (Q)
|
100% |
31619
375.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5109
39.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
53524
412.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
74362
581.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17040
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
149523
192.2 IPS |
|
|
Style Transfer (Q)
|
96% |
143431
185.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3699
136.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29797
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29773
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2584
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
2361
3.15 KIPS |
|
|
Text Classification (Q)
|
93% |
2406
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3428
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6006
103.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6791
117.4 IPS |
