iPhone 13 Pro
Geekbench AI Score
3275
Single Precision Score
19857
Half Precision Score
22442
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 09:04 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% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
8662
1.61 KIPS |
|
|
Image Classification (Q)
|
96% |
9396
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1295
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12079
195.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
13929
225.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6533
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
91118
106.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
94600
110.9 IPS |
|
|
Object Detection (SP)
|
100% |
1466
116.3 IPS |
|
|
Object Detection (HP)
|
99% |
10561
840.1 IPS |
|
|
Object Detection (Q)
|
91% |
11813
943.9 IPS |
|
|
Face Detection (SP)
|
100% |
2697
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
27311
324.5 IPS |
|
|
Face Detection (Q)
|
100% |
36263
430.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5479
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
54502
419.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
72440
566.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17776
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
156236
200.8 IPS |
|
|
Style Transfer (Q)
|
96% |
158251
204.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3960
146.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28660
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34240
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
2363
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
2346
3.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2235
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3484
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6056
104.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6965
120.4 IPS |
