iPhone 13 Pro
Geekbench AI Score
3292
Single Precision Score
19743
Half Precision Score
22375
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Fritzt |
| Upload Date | March 02 2025 08:23 AM |
| Views | 25 |
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
251.1 IPS |
|
|
Image Classification (HP)
|
100% |
9371
1.74 KIPS |
|
|
Image Classification (Q)
|
96% |
10089
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1304
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11865
192.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
13646
221.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6636
7.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
86169
100.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
94175
110.4 IPS |
|
|
Object Detection (SP)
|
100% |
1470
116.6 IPS |
|
|
Object Detection (HP)
|
99% |
11074
880.9 IPS |
|
|
Object Detection (Q)
|
91% |
11556
923.4 IPS |
|
|
Face Detection (SP)
|
100% |
2692
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
25322
300.9 IPS |
|
|
Face Detection (Q)
|
100% |
34871
414.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5438
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
55250
425.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
79666
622.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17839
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
153622
197.5 IPS |
|
|
Style Transfer (Q)
|
96% |
154814
199.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4006
147.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27404
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28360
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2415
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (Q)
|
93% |
2389
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3446
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6264
107.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7204
124.5 IPS |
