iPhone 13 Pro
Geekbench AI Score
3264
Single Precision Score
19703
Half Precision Score
22371
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | unlobito |
| Upload Date | April 13 2025 05:04 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1348
250.8 IPS |
|
|
Image Classification (HP)
|
100% |
8772
1.63 KIPS |
|
|
Image Classification (Q)
|
96% |
9583
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12183
197.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
12882
208.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6349
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
85860
100.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
93696
109.8 IPS |
|
|
Object Detection (SP)
|
100% |
1455
115.4 IPS |
|
|
Object Detection (HP)
|
99% |
11031
877.5 IPS |
|
|
Object Detection (Q)
|
91% |
11662
931.8 IPS |
|
|
Face Detection (SP)
|
100% |
2701
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
26833
318.8 IPS |
|
|
Face Detection (Q)
|
100% |
36911
438.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5410
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
53758
414.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
79738
623.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17619
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
156126
200.7 IPS |
|
|
Style Transfer (Q)
|
96% |
155971
201.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3959
146.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26808
989.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29228
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2422
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2296
3.07 KIPS |
|
|
Text Classification (Q)
|
93% |
2389
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3427
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6286
108.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7262
125.5 IPS |
