iPhone 13 Pro
Geekbench AI Score
2209
Single Precision Score
2266
Half Precision Score
1230
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | precisionxt |
| Upload Date | June 26 2025 02:27 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.3.1 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1206
224.2 IPS |
|
|
Image Classification (HP)
|
100% |
1044
194.2 IPS |
|
|
Image Classification (Q)
|
97% |
411
76.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
672
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
604
9.79 IPS |
|
|
Image Segmentation (Q)
|
99% |
516
8.36 IPS |
|
|
Pose Estimation (SP)
|
100% |
5799
6.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
11592
13.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
5842
6.85 IPS |
|
|
Object Detection (SP)
|
100% |
1219
96.7 IPS |
|
|
Object Detection (HP)
|
98% |
1226
97.5 IPS |
|
|
Object Detection (Q)
|
94% |
500
39.9 IPS |
|
|
Face Detection (SP)
|
100% |
1944
23.1 IPS |
|
|
Face Detection (HP)
|
100% |
1750
20.8 IPS |
|
|
Face Detection (Q)
|
100% |
605
7.19 IPS |
|
|
Depth Estimation (SP)
|
100% |
3754
28.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4048
31.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
1777
13.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10628
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13081
16.8 IPS |
|
|
Style Transfer (Q)
|
96% |
7274
9.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3149
116.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2692
99.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1041
38.5 IPS |
|
|
Text Classification (SP)
|
100% |
1276
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
833
1.11 KIPS |
|
|
Text Classification (Q)
|
93% |
829
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1550
26.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1918
33.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1911
33.0 IPS |
