iPhone 13 Pro
Geekbench AI Score
3261
Single Precision Score
19999
Half Precision Score
22837
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | TeckFire |
| Upload Date | March 10 2025 03:48 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1344
249.9 IPS |
|
|
Image Classification (HP)
|
100% |
7869
1.46 KIPS |
|
|
Image Classification (Q)
|
96% |
9683
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12658
205.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
14534
235.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6503
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
90167
105.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
96203
112.8 IPS |
|
|
Object Detection (SP)
|
100% |
1438
114.1 IPS |
|
|
Object Detection (HP)
|
99% |
10503
835.5 IPS |
|
|
Object Detection (Q)
|
91% |
11813
943.9 IPS |
|
|
Face Detection (SP)
|
100% |
2597
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
28735
341.4 IPS |
|
|
Face Detection (Q)
|
100% |
37384
444.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5344
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
55855
430.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
73653
575.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17662
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
154099
198.1 IPS |
|
|
Style Transfer (Q)
|
96% |
174129
224.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3929
145.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29179
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28976
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2469
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
2440
3.26 KIPS |
|
|
Text Classification (Q)
|
93% |
2486
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3519
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6162
106.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6985
120.7 IPS |
