iPhone 13 Pro
Geekbench AI Score
3281
Single Precision Score
5753
Half Precision Score
4690
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Kokkinho |
| Upload Date | April 30 2025 04:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1349
250.8 IPS |
|
|
Image Classification (HP)
|
100% |
2356
438.1 IPS |
|
|
Image Classification (Q)
|
96% |
1611
300.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1274
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1969
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2432
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6589
7.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
14816
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12390
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1458
115.6 IPS |
|
|
Object Detection (HP)
|
97% |
2728
217.2 IPS |
|
|
Object Detection (Q)
|
94% |
1943
154.9 IPS |
|
|
Face Detection (SP)
|
100% |
2620
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
5649
67.1 IPS |
|
|
Face Detection (Q)
|
100% |
3213
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5334
41.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10507
81.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7374
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17861
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28233
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23246
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3883
143.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4756
175.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3663
135.3 IPS |
|
|
Text Classification (SP)
|
100% |
2453
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4210
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4266
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3690
63.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6313
109.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6350
109.7 IPS |
