iPhone 13 Pro
Geekbench AI Score
3290
Single Precision Score
18870
Half Precision Score
20982
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 13 2024 10:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1358
252.5 IPS |
|
|
Image Classification (HP)
|
100% |
8117
1.51 KIPS |
|
|
Image Classification (Q)
|
96% |
9849
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1317
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12177
197.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
13562
219.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6427
7.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
85789
100.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
93177
109.2 IPS |
|
|
Object Detection (SP)
|
100% |
1461
115.9 IPS |
|
|
Object Detection (HP)
|
99% |
10369
824.8 IPS |
|
|
Object Detection (Q)
|
91% |
11059
883.6 IPS |
|
|
Face Detection (SP)
|
100% |
2693
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
26471
314.5 IPS |
|
|
Face Detection (Q)
|
100% |
35712
424.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5520
42.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
54937
423.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
69648
544.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17773
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
154719
198.9 IPS |
|
|
Style Transfer (Q)
|
96% |
152558
196.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3978
146.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26201
967.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27771
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2442
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2310
3.08 KIPS |
|
|
Text Classification (Q)
|
93% |
2328
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3451
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4783
82.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4900
84.7 IPS |
