iPhone 13 Pro
Geekbench AI Score
3212
Single Precision Score
5698
Half Precision Score
4620
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | melik_alexey |
| Upload Date | April 07 2025 08:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1351
251.2 IPS |
|
|
Image Classification (HP)
|
100% |
2368
440.3 IPS |
|
|
Image Classification (Q)
|
96% |
1623
303.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1278
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1970
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2426
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6111
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
14043
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11916
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1435
113.8 IPS |
|
|
Object Detection (HP)
|
97% |
2704
215.3 IPS |
|
|
Object Detection (Q)
|
94% |
1924
153.4 IPS |
|
|
Face Detection (SP)
|
100% |
2655
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
5590
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
3118
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5212
40.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10435
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7285
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17064
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27608
35.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22433
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3761
138.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4778
176.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3633
134.2 IPS |
|
|
Text Classification (SP)
|
100% |
2462
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4223
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4177
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3540
61.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6276
108.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6349
109.7 IPS |
