iPhone 13 Pro
Geekbench AI Score
3311
Single Precision Score
5723
Half Precision Score
4629
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 24 2024 07:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1352
251.4 IPS |
|
|
Image Classification (HP)
|
100% |
2346
436.2 IPS |
|
|
Image Classification (Q)
|
96% |
1622
302.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1324
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2014
32.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2494
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6670
7.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
14386
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12160
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1472
116.8 IPS |
|
|
Object Detection (HP)
|
97% |
2761
219.8 IPS |
|
|
Object Detection (Q)
|
94% |
1945
155.0 IPS |
|
|
Face Detection (SP)
|
100% |
2743
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
5814
69.1 IPS |
|
|
Face Detection (Q)
|
100% |
3277
38.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5570
42.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11267
87.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7671
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17904
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27174
34.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22580
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3982
147.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4745
175.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3545
130.9 IPS |
|
|
Text Classification (SP)
|
100% |
2430
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4144
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4116
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3408
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5740
99.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5704
98.6 IPS |
