iPhone 13 Pro
Geekbench AI Score
3250
Single Precision Score
19543
Half Precision Score
21618
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | jcpenni |
| Upload Date | December 21 2024 09:28 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1358
252.6 IPS |
|
|
Image Classification (HP)
|
100% |
7876
1.46 KIPS |
|
|
Image Classification (Q)
|
96% |
8961
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1326
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12416
201.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
13268
215.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6322
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
93467
109.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
93068
109.1 IPS |
|
|
Object Detection (SP)
|
100% |
1444
114.6 IPS |
|
|
Object Detection (HP)
|
99% |
10283
818.0 IPS |
|
|
Object Detection (Q)
|
91% |
12041
962.1 IPS |
|
|
Face Detection (SP)
|
100% |
2630
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
26426
314.0 IPS |
|
|
Face Detection (Q)
|
100% |
33961
403.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5375
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
52347
403.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
71935
562.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17347
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
153374
197.2 IPS |
|
|
Style Transfer (Q)
|
96% |
152747
197.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3881
143.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27669
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27622
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2479
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
2428
3.24 KIPS |
|
|
Text Classification (Q)
|
93% |
2353
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3398
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6068
104.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6899
119.2 IPS |
