iPhone 13 Pro
Geekbench AI Score
3260
Single Precision Score
19643
Half Precision Score
22380
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ___ |
| Upload Date | March 26 2025 03:48 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1350
251.0 IPS |
|
|
Image Classification (HP)
|
100% |
8935
1.66 KIPS |
|
|
Image Classification (Q)
|
96% |
10768
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1307
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11949
193.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
14418
233.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6362
7.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
85143
99.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
93593
109.7 IPS |
|
|
Object Detection (SP)
|
100% |
1467
116.4 IPS |
|
|
Object Detection (HP)
|
99% |
11132
885.5 IPS |
|
|
Object Detection (Q)
|
91% |
11830
945.3 IPS |
|
|
Face Detection (SP)
|
100% |
2721
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
26238
311.8 IPS |
|
|
Face Detection (Q)
|
100% |
32600
387.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5417
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
53250
410.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
74399
581.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17364
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
151762
195.1 IPS |
|
|
Style Transfer (Q)
|
96% |
154026
198.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3914
144.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28022
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28688
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2408
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2292
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3416
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6306
108.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7466
129.0 IPS |
