iPhone 13 Pro
Geekbench AI Score
3270
Single Precision Score
5669
Half Precision Score
4596
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Sparrrxw |
| Upload Date | March 20 2025 01:49 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1359
252.6 IPS |
|
|
Image Classification (HP)
|
100% |
2356
438.2 IPS |
|
|
Image Classification (Q)
|
96% |
1626
303.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2012
32.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2488
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6474
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
14096
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12042
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1468
116.5 IPS |
|
|
Object Detection (HP)
|
97% |
2752
219.1 IPS |
|
|
Object Detection (Q)
|
94% |
1954
155.7 IPS |
|
|
Face Detection (SP)
|
100% |
2702
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
5762
68.5 IPS |
|
|
Face Detection (Q)
|
100% |
3220
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5413
41.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11142
86.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7622
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17576
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26766
34.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22369
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3902
144.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4630
171.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3489
128.8 IPS |
|
|
Text Classification (SP)
|
100% |
2453
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4107
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4089
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3397
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5707
98.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5646
97.6 IPS |
