iPhone 13 Pro
Geekbench AI Score
3271
Single Precision Score
19732
Half Precision Score
22225
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 23 2024 11:18 PM |
| Views | 2 |
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% |
1348
250.7 IPS |
|
|
Image Classification (HP)
|
100% |
8863
1.65 KIPS |
|
|
Image Classification (Q)
|
96% |
10129
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1351
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12070
195.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
13494
218.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6363
7.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
89967
105.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
93965
110.1 IPS |
|
|
Object Detection (SP)
|
100% |
1453
115.2 IPS |
|
|
Object Detection (HP)
|
99% |
11049
878.9 IPS |
|
|
Object Detection (Q)
|
91% |
11555
923.3 IPS |
|
|
Face Detection (SP)
|
100% |
2692
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
26436
314.1 IPS |
|
|
Face Detection (Q)
|
100% |
35036
416.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5408
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
54253
418.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
72592
567.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17558
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
150573
193.6 IPS |
|
|
Style Transfer (Q)
|
96% |
155870
201.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3932
145.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27324
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34250
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
2426
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2057
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3421
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6090
104.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7097
122.6 IPS |
