iPhone 13 Pro
Geekbench AI Score
3324
Single Precision Score
5737
Half Precision Score
4633
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | rc335 |
| Upload Date | October 20 2024 02:39 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1361
253.2 IPS |
|
|
Image Classification (HP)
|
100% |
2351
437.3 IPS |
|
|
Image Classification (Q)
|
96% |
1622
302.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1322
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2010
32.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2483
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6679
7.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
14321
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12246
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1484
117.7 IPS |
|
|
Object Detection (HP)
|
97% |
2753
219.2 IPS |
|
|
Object Detection (Q)
|
94% |
1946
155.1 IPS |
|
|
Face Detection (SP)
|
100% |
2761
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
5803
69.0 IPS |
|
|
Face Detection (Q)
|
100% |
3261
38.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5577
43.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11213
86.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7673
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17982
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27065
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22516
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4044
149.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4906
181.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3553
131.2 IPS |
|
|
Text Classification (SP)
|
100% |
2427
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4195
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4172
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3404
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5722
98.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5688
98.3 IPS |
