iPhone 13 Pro
Geekbench AI Score
3210
Single Precision Score
5620
Half Precision Score
4537
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 08:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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
252.0 IPS |
|
|
Image Classification (HP)
|
100% |
2351
437.2 IPS |
|
|
Image Classification (Q)
|
96% |
1627
303.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1301
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1995
32.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2452
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6089
7.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
13600
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11491
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1437
114.0 IPS |
|
|
Object Detection (HP)
|
97% |
2718
216.4 IPS |
|
|
Object Detection (Q)
|
94% |
1927
153.6 IPS |
|
|
Face Detection (SP)
|
100% |
2672
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
5668
67.3 IPS |
|
|
Face Detection (Q)
|
100% |
3165
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5331
41.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11048
85.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7525
58.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17392
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26620
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22069
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3709
137.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4646
171.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3449
127.4 IPS |
|
|
Text Classification (SP)
|
100% |
2426
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4143
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4112
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3388
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5653
97.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5624
97.2 IPS |
