iPhone 13 Pro
Geekbench AI Score
2942
Single Precision Score
4444
Half Precision Score
3801
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 10:53 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1421
264.3 IPS |
|
|
Image Classification (HP)
|
100% |
1782
331.5 IPS |
|
|
Image Classification (Q)
|
96% |
1354
252.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1139
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1121
18.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1664
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5699
6.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
13480
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11280
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1428
113.3 IPS |
|
|
Object Detection (HP)
|
97% |
2116
168.4 IPS |
|
|
Object Detection (Q)
|
94% |
1593
127.0 IPS |
|
|
Face Detection (SP)
|
100% |
2366
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
3995
47.5 IPS |
|
|
Face Detection (Q)
|
100% |
2542
30.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4792
36.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
7897
61.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
5865
45.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15964
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25013
32.2 IPS |
|
|
Style Transfer (Q)
|
96% |
20987
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3487
128.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4627
170.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3488
128.8 IPS |
|
|
Text Classification (SP)
|
100% |
2360
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3382
4.51 KIPS |
|
|
Text Classification (Q)
|
93% |
3357
4.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2477
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4272
73.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4250
73.5 IPS |
