iPhone 13 Pro
Geekbench AI Score
3044
Single Precision Score
5228
Half Precision Score
4234
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 29 2024 05:18 AM |
| Views | 1 |
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% |
1236
229.9 IPS |
|
|
Image Classification (HP)
|
100% |
2131
396.4 IPS |
|
|
Image Classification (Q)
|
96% |
1481
276.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1219
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1845
29.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2263
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5994
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
12855
15.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11098
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1344
106.6 IPS |
|
|
Object Detection (HP)
|
97% |
2513
200.1 IPS |
|
|
Object Detection (Q)
|
94% |
1761
140.4 IPS |
|
|
Face Detection (SP)
|
100% |
2547
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
5276
62.7 IPS |
|
|
Face Detection (Q)
|
100% |
2975
35.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5001
38.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10245
79.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6914
54.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16134
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
24196
31.1 IPS |
|
|
Style Transfer (Q)
|
96% |
20211
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3607
133.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4234
156.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3175
117.2 IPS |
|
|
Text Classification (SP)
|
100% |
2326
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4006
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3962
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3269
56.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5417
93.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5413
93.5 IPS |
