iPhone 13 Pro
Geekbench AI Score
3081
Single Precision Score
19409
Half Precision Score
22142
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | October 05 2025 01:01 PM |
| Views | 11 |
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% |
1229
228.5 IPS |
|
|
Image Classification (HP)
|
100% |
7721
1.44 KIPS |
|
|
Image Classification (Q)
|
96% |
10664
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1256
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12856
208.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
15349
248.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5663
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
77905
90.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
80269
94.1 IPS |
|
|
Object Detection (SP)
|
100% |
1331
105.6 IPS |
|
|
Object Detection (HP)
|
99% |
10397
827.0 IPS |
|
|
Object Detection (Q)
|
91% |
11923
952.7 IPS |
|
|
Face Detection (SP)
|
100% |
2545
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
26435
314.1 IPS |
|
|
Face Detection (Q)
|
100% |
36319
431.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5107
39.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
55775
429.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
74736
584.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16094
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
149354
192.0 IPS |
|
|
Style Transfer (Q)
|
96% |
141993
183.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3578
132.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29730
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28114
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2600
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
2381
3.18 KIPS |
|
|
Text Classification (Q)
|
93% |
2494
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3410
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6056
104.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6691
115.6 IPS |
