iPhone 13 Pro
Geekbench AI Score
3275
Single Precision Score
5684
Half Precision Score
4607
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 10 2024 10:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1367
254.2 IPS |
|
|
Image Classification (HP)
|
100% |
2361
439.1 IPS |
|
|
Image Classification (Q)
|
96% |
1643
306.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1319
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2003
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2489
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6357
7.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
14218
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12058
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1450
115.0 IPS |
|
|
Object Detection (HP)
|
97% |
2741
218.2 IPS |
|
|
Object Detection (Q)
|
94% |
1946
155.1 IPS |
|
|
Face Detection (SP)
|
100% |
2729
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
5737
68.2 IPS |
|
|
Face Detection (Q)
|
100% |
3196
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5523
42.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11191
86.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7630
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17614
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26881
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22453
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3892
143.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4717
174.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3517
129.9 IPS |
|
|
Text Classification (SP)
|
100% |
2431
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4116
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4083
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3410
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5709
98.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5709
98.7 IPS |
