iPhone 13 Pro
Geekbench AI Score
3104
Single Precision Score
19846
Half Precision Score
22283
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 31 2026 03:19 AM |
| Views | 6 |
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% |
1092
203.1 IPS |
|
|
Image Classification (HP)
|
100% |
7594
1.41 KIPS |
|
|
Image Classification (Q)
|
96% |
8745
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1109
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12928
209.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
13485
218.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6091
7.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
87807
102.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
93736
109.9 IPS |
|
|
Object Detection (SP)
|
100% |
1392
110.4 IPS |
|
|
Object Detection (HP)
|
99% |
10542
838.6 IPS |
|
|
Object Detection (Q)
|
91% |
11869
948.4 IPS |
|
|
Face Detection (SP)
|
100% |
2592
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
29107
345.9 IPS |
|
|
Face Detection (Q)
|
100% |
37050
440.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5240
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
54756
421.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
70556
551.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16931
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
164836
211.9 IPS |
|
|
Style Transfer (Q)
|
96% |
166553
214.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3903
144.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26478
977.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28818
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2478
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
2465
3.29 KIPS |
|
|
Text Classification (Q)
|
93% |
2504
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3644
62.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6083
104.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7324
126.6 IPS |
