iPhone 13 Pro
Geekbench AI Score
3321
Single Precision Score
18687
Half Precision Score
20972
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 11:02 PM |
| Views | 2 |
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% |
1368
254.3 IPS |
|
|
Image Classification (HP)
|
100% |
8324
1.55 KIPS |
|
|
Image Classification (Q)
|
96% |
9835
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1320
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11684
189.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12804
207.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6673
7.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
88732
103.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
93844
110.0 IPS |
|
|
Object Detection (SP)
|
100% |
1484
117.7 IPS |
|
|
Object Detection (HP)
|
99% |
10313
820.4 IPS |
|
|
Object Detection (Q)
|
91% |
11344
906.4 IPS |
|
|
Face Detection (SP)
|
100% |
2739
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
26498
314.9 IPS |
|
|
Face Detection (Q)
|
100% |
33007
392.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5613
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
51958
400.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
75559
590.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17889
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
155280
199.6 IPS |
|
|
Style Transfer (Q)
|
96% |
151443
195.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4016
148.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26414
975.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28542
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2441
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2151
2.87 KIPS |
|
|
Text Classification (Q)
|
93% |
2230
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3393
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4804
82.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5108
88.3 IPS |
