iPhone 13 Pro
Geekbench AI Score
3155
Single Precision Score
19283
Half Precision Score
20968
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | November 16 2025 07:30 AM |
| Views | 2 |
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% |
1258
234.0 IPS |
|
|
Image Classification (HP)
|
100% |
7589
1.41 KIPS |
|
|
Image Classification (Q)
|
96% |
9065
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1275
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12173
197.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
12647
205.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5960
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
78441
91.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
80676
94.6 IPS |
|
|
Object Detection (SP)
|
100% |
1345
106.7 IPS |
|
|
Object Detection (HP)
|
99% |
10095
803.1 IPS |
|
|
Object Detection (Q)
|
91% |
12137
969.8 IPS |
|
|
Face Detection (SP)
|
100% |
2624
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
27963
332.3 IPS |
|
|
Face Detection (Q)
|
100% |
33260
395.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5128
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
54782
422.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
66912
522.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17382
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
151955
195.3 IPS |
|
|
Style Transfer (Q)
|
96% |
146384
188.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3650
134.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28903
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27741
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2585
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
2393
3.19 KIPS |
|
|
Text Classification (Q)
|
93% |
2336
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3452
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6037
104.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6932
119.8 IPS |
