iPhone 13 Pro
Geekbench AI Score
3305
Single Precision Score
5727
Half Precision Score
4640
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 13 2024 10:49 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% |
1361
253.0 IPS |
|
|
Image Classification (HP)
|
100% |
2355
437.9 IPS |
|
|
Image Classification (Q)
|
96% |
1635
305.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1328
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2014
32.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2492
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6586
7.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
14344
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12181
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1464
116.1 IPS |
|
|
Object Detection (HP)
|
97% |
2762
219.9 IPS |
|
|
Object Detection (Q)
|
94% |
1950
155.4 IPS |
|
|
Face Detection (SP)
|
100% |
2764
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
5804
69.0 IPS |
|
|
Face Detection (Q)
|
100% |
3263
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5476
42.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11211
86.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7668
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17799
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27142
34.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22609
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3971
146.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4771
176.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3552
131.1 IPS |
|
|
Text Classification (SP)
|
100% |
2434
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4175
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4133
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3427
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5743
99.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5756
99.5 IPS |
