iPhone 13 Pro
Geekbench AI Score
3194
Single Precision Score
5568
Half Precision Score
4514
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 30 2024 11:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1346
250.2 IPS |
|
|
Image Classification (HP)
|
100% |
2345
436.2 IPS |
|
|
Image Classification (Q)
|
96% |
1644
307.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1285
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1980
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2450
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6184
7.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
13080
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11461
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1411
111.9 IPS |
|
|
Object Detection (HP)
|
97% |
2711
215.8 IPS |
|
|
Object Detection (Q)
|
94% |
1920
153.1 IPS |
|
|
Face Detection (SP)
|
100% |
2618
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
5579
66.3 IPS |
|
|
Face Detection (Q)
|
100% |
3039
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5255
40.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10833
83.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7419
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17071
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25789
33.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21660
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3827
141.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4683
172.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3430
126.6 IPS |
|
|
Text Classification (SP)
|
100% |
2415
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4258
5.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4244
5.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3381
58.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5599
96.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5581
96.4 IPS |
