iPhone 13 Pro
Geekbench AI Score
3271
Single Precision Score
5673
Half Precision Score
4587
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 02:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1357
252.3 IPS |
|
|
Image Classification (HP)
|
100% |
2347
436.5 IPS |
|
|
Image Classification (Q)
|
96% |
1621
302.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1319
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2021
32.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2479
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6414
7.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
14076
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12018
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1448
114.8 IPS |
|
|
Object Detection (HP)
|
97% |
2754
219.2 IPS |
|
|
Object Detection (Q)
|
94% |
1949
155.3 IPS |
|
|
Face Detection (SP)
|
100% |
2719
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
5686
67.6 IPS |
|
|
Face Detection (Q)
|
100% |
3169
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5481
42.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11072
85.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7629
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17412
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26996
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22378
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3875
143.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4746
175.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3507
129.5 IPS |
|
|
Text Classification (SP)
|
100% |
2442
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4122
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4100
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3441
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5652
97.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5636
97.4 IPS |
