iPhone 13 Pro
Geekbench AI Score
3304
Single Precision Score
19785
Half Precision Score
22001
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 13 2024 10:16 PM |
| Views | 1 |
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% |
1355
251.9 IPS |
|
|
Image Classification (HP)
|
100% |
8326
1.55 KIPS |
|
|
Image Classification (Q)
|
96% |
10032
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1311
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12289
199.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
12807
207.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6638
7.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
84773
98.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
94058
110.2 IPS |
|
|
Object Detection (SP)
|
100% |
1487
118.0 IPS |
|
|
Object Detection (HP)
|
99% |
10942
870.4 IPS |
|
|
Object Detection (Q)
|
91% |
11412
911.8 IPS |
|
|
Face Detection (SP)
|
100% |
2707
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
28245
335.6 IPS |
|
|
Face Detection (Q)
|
100% |
34576
410.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5510
42.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
53740
414.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
74412
581.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17929
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
157893
203.0 IPS |
|
|
Style Transfer (Q)
|
96% |
153680
198.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3964
146.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27563
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28920
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2439
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2404
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2386
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3425
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6100
105.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7064
122.1 IPS |
