iPhone 13 Pro
Geekbench AI Score
3229
Single Precision Score
5647
Half Precision Score
4556
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | sultanEng |
| Upload Date | April 11 2025 07:34 PM |
| Views | 21 |
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% |
1343
249.7 IPS |
|
|
Image Classification (HP)
|
100% |
2373
441.3 IPS |
|
|
Image Classification (Q)
|
96% |
1622
302.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2029
32.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2480
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6116
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
13651
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11575
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1464
116.1 IPS |
|
|
Object Detection (HP)
|
97% |
2700
215.0 IPS |
|
|
Object Detection (Q)
|
94% |
1916
152.7 IPS |
|
|
Face Detection (SP)
|
100% |
2635
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
5707
67.8 IPS |
|
|
Face Detection (Q)
|
100% |
3209
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5378
41.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11092
85.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7579
59.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17467
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26869
34.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22096
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3847
142.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4710
173.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3464
127.9 IPS |
|
|
Text Classification (SP)
|
100% |
2427
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4123
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4102
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3399
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5626
97.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5660
97.8 IPS |
