iPhone 13 Pro
Geekbench AI Score
3249
Single Precision Score
5633
Half Precision Score
4905
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Jfreshh330 |
| Upload Date | August 29 2024 02:01 PM |
| Views | 7 |
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% |
1361
253.2 IPS |
|
|
Image Classification (HP)
|
100% |
2351
437.1 IPS |
|
|
Image Classification (Q)
|
99% |
2334
435.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1294
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1986
32.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1988
32.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6344
7.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
14123
16.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
11834
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1439
114.2 IPS |
|
|
Object Detection (HP)
|
97% |
2723
216.8 IPS |
|
|
Object Detection (Q)
|
94% |
1926
153.5 IPS |
|
|
Face Detection (SP)
|
100% |
2710
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
5593
66.5 IPS |
|
|
Face Detection (Q)
|
100% |
3185
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5454
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11100
85.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
11051
85.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17483
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26741
34.4 IPS |
|
|
Style Transfer (Q)
|
100% |
26593
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3850
142.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4675
172.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3420
126.7 IPS |
|
|
Text Classification (SP)
|
100% |
2413
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4101
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4195
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3397
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5629
97.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5680
98.2 IPS |
