iPhone 13 Pro
Geekbench AI Score
3275
Single Precision Score
5691
Half Precision Score
4610
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 13 2024 10:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1363
253.4 IPS |
|
|
Image Classification (HP)
|
100% |
2358
438.5 IPS |
|
|
Image Classification (Q)
|
96% |
1627
303.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1326
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2018
32.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2485
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6287
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
13956
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11866
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1458
115.6 IPS |
|
|
Object Detection (HP)
|
97% |
2733
217.6 IPS |
|
|
Object Detection (Q)
|
94% |
1947
155.2 IPS |
|
|
Face Detection (SP)
|
100% |
2739
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
5731
68.1 IPS |
|
|
Face Detection (Q)
|
100% |
3187
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5475
42.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11088
85.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7657
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17592
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27036
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22392
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3904
144.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4729
174.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3522
130.1 IPS |
|
|
Text Classification (SP)
|
100% |
2432
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4183
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4162
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3423
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5781
99.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5803
100.3 IPS |
