iPhone 13 Pro
Geekbench AI Score
3172
Single Precision Score
18243
Half Precision Score
20090
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | October 20 2025 08:41 AM |
| Views | 10 |
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% |
1255
233.4 IPS |
|
|
Image Classification (HP)
|
100% |
7181
1.34 KIPS |
|
|
Image Classification (Q)
|
96% |
7951
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1269
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13408
217.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
14694
238.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6063
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
75976
88.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
80284
94.1 IPS |
|
|
Object Detection (SP)
|
100% |
1364
108.2 IPS |
|
|
Object Detection (HP)
|
99% |
10280
817.8 IPS |
|
|
Object Detection (Q)
|
91% |
11762
939.8 IPS |
|
|
Face Detection (SP)
|
100% |
2635
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
24684
293.3 IPS |
|
|
Face Detection (Q)
|
100% |
30848
366.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5175
39.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
57073
439.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
74928
585.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17473
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
148573
191.0 IPS |
|
|
Style Transfer (Q)
|
96% |
132250
170.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3624
133.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28366
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26541
980.0 IPS |
|
|
Text Classification (SP)
|
100% |
2591
3.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1512
2.02 KIPS |
|
|
Text Classification (Q)
|
93% |
1753
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3501
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6049
104.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6828
118.0 IPS |
