iPhone 13 Pro
Geekbench AI Score
2633
Single Precision Score
5097
Half Precision Score
4176
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 01:07 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% |
657
122.2 IPS |
|
|
Image Classification (HP)
|
100% |
1867
347.3 IPS |
|
|
Image Classification (Q)
|
96% |
1356
253.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1134
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1536
24.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2129
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2942
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
10492
12.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
8853
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1345
106.7 IPS |
|
|
Object Detection (HP)
|
97% |
2627
209.1 IPS |
|
|
Object Detection (Q)
|
94% |
1858
148.1 IPS |
|
|
Face Detection (SP)
|
100% |
2508
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
4900
58.2 IPS |
|
|
Face Detection (Q)
|
100% |
2876
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4453
34.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10433
80.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7183
56.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14992
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
25810
33.2 IPS |
|
|
Style Transfer (Q)
|
96% |
20629
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3870
142.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4883
180.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3480
128.5 IPS |
|
|
Text Classification (SP)
|
100% |
2443
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4164
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4124
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3435
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5585
96.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5565
96.2 IPS |
