iPhone 13 Pro
Geekbench AI Score
2928
Single Precision Score
4482
Half Precision Score
3700
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | jcpenni |
| Upload Date | August 15 2024 09:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1413
262.7 IPS |
|
|
Image Classification (HP)
|
100% |
1783
331.6 IPS |
|
|
Image Classification (Q)
|
99% |
1760
328.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1143
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1123
18.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1115
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5650
6.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
13307
15.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
11276
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1428
113.3 IPS |
|
|
Object Detection (HP)
|
97% |
2104
167.5 IPS |
|
|
Object Detection (Q)
|
94% |
1591
126.8 IPS |
|
|
Face Detection (SP)
|
100% |
2353
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
3967
47.1 IPS |
|
|
Face Detection (Q)
|
100% |
2525
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4766
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7837
60.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
3961
30.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15768
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
24936
32.1 IPS |
|
|
Style Transfer (Q)
|
100% |
24593
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3434
126.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4587
169.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3405
126.1 IPS |
|
|
Text Classification (SP)
|
100% |
2367
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3846
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3829
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2475
42.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4270
73.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4264
73.7 IPS |
