iPhone 13 Pro
Geekbench AI Score
2217
Single Precision Score
10674
Half Precision Score
11651
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 01:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1200
223.2 IPS |
|
|
Image Classification (HP)
|
100% |
4774
887.9 IPS |
|
|
Image Classification (Q)
|
96% |
4747
886.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
673
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3797
61.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6099
98.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5863
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
71313
83.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
76478
89.6 IPS |
|
|
Object Detection (SP)
|
100% |
1236
98.1 IPS |
|
|
Object Detection (HP)
|
99% |
5756
457.8 IPS |
|
|
Object Detection (Q)
|
93% |
6353
506.9 IPS |
|
|
Face Detection (SP)
|
100% |
1955
23.2 IPS |
|
|
Face Detection (HP)
|
100% |
10462
124.3 IPS |
|
|
Face Detection (Q)
|
100% |
12267
145.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3798
29.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
36672
282.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
40608
317.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10483
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
95307
122.5 IPS |
|
|
Style Transfer (Q)
|
95% |
79704
102.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3161
116.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13384
494.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15012
554.3 IPS |
|
|
Text Classification (SP)
|
100% |
1289
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2377
3.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2448
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1550
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2219
38.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2246
38.8 IPS |
