iPhone 13 Pro
Geekbench AI Score
3248
Single Precision Score
5639
Half Precision Score
4546
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
2338
434.8 IPS |
|
|
Image Classification (Q)
|
96% |
1613
301.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1315
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1988
32.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2469
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6369
7.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
13762
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11786
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1441
114.3 IPS |
|
|
Object Detection (HP)
|
97% |
2720
216.6 IPS |
|
|
Object Detection (Q)
|
94% |
1928
153.7 IPS |
|
|
Face Detection (SP)
|
100% |
2692
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
5596
66.5 IPS |
|
|
Face Detection (Q)
|
100% |
3129
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5434
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10948
84.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7504
58.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17310
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26713
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22137
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3840
141.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4900
180.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3486
128.7 IPS |
|
|
Text Classification (SP)
|
100% |
2398
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4127
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4083
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3403
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5654
97.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5639
97.5 IPS |
