iPhone 13 Pro
Geekbench AI Score
3193
Single Precision Score
20828
Half Precision Score
23414
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | petebu |
| Upload Date | May 17 2025 03:48 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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
251.1 IPS |
|
|
Image Classification (HP)
|
100% |
9829
1.83 KIPS |
|
|
Image Classification (Q)
|
96% |
10706
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1277
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12763
206.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
14302
231.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6009
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
95089
111.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
95591
112.0 IPS |
|
|
Object Detection (SP)
|
100% |
1417
112.4 IPS |
|
|
Object Detection (HP)
|
99% |
11108
883.6 IPS |
|
|
Object Detection (Q)
|
91% |
12019
960.4 IPS |
|
|
Face Detection (SP)
|
100% |
2614
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
29948
355.8 IPS |
|
|
Face Detection (Q)
|
100% |
36991
439.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5219
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
57273
441.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
75666
591.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16760
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
167052
214.7 IPS |
|
|
Style Transfer (Q)
|
96% |
170749
220.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3785
139.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26963
995.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31233
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2441
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2379
3.18 KIPS |
|
|
Text Classification (Q)
|
93% |
2530
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3557
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6310
108.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7456
128.8 IPS |
