iPhone 13 Pro
Geekbench AI Score
2711
Single Precision Score
2799
Half Precision Score
2736
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | jcpenni |
| Upload Date | August 15 2024 09:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1363
253.5 IPS |
|
|
Image Classification (HP)
|
100% |
1716
319.2 IPS |
|
|
Image Classification (Q)
|
99% |
1149
214.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2244
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2515
40.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
2484
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11152
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
8884
10.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
10938
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1520
120.5 IPS |
|
|
Object Detection (HP)
|
100% |
1621
128.6 IPS |
|
|
Object Detection (Q)
|
92% |
1540
122.9 IPS |
|
|
Face Detection (SP)
|
100% |
4036
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
4626
55.0 IPS |
|
|
Face Detection (Q)
|
100% |
3727
44.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8061
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8171
63.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
7370
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14096
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11920
15.3 IPS |
|
|
Style Transfer (Q)
|
100% |
14581
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2716
100.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3203
118.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3898
144.4 IPS |
|
|
Text Classification (SP)
|
100% |
385
513.9 IPS |
|
|
Text Classification (HP)
|
100% |
365
487.8 IPS |
|
|
Text Classification (Q)
|
93% |
243
326.3 IPS |
|
|
Machine Translation (SP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
903
15.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1290
22.3 IPS |
