iPhone 13 Pro
Geekbench AI Score
2970
Single Precision Score
3480
Half Precision Score
3133
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 23 2024 11:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
641
119.2 IPS |
|
|
Image Classification (HP)
|
100% |
1207
224.5 IPS |
|
|
Image Classification (Q)
|
97% |
950
177.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2296
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2480
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2431
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11301
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12154
14.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11444
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1370
108.7 IPS |
|
|
Object Detection (HP)
|
100% |
1380
109.5 IPS |
|
|
Object Detection (Q)
|
91% |
1198
95.7 IPS |
|
|
Face Detection (SP)
|
100% |
4594
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
4706
55.9 IPS |
|
|
Face Detection (Q)
|
100% |
4026
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8129
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8775
67.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7371
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18821
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22492
28.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21316
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3866
142.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3581
132.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3146
116.2 IPS |
|
|
Text Classification (SP)
|
100% |
2401
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4138
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4103
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
360
6.20 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.51 IPS |
|
|
Machine Translation (Q)
|
98% |
353
6.11 IPS |
