iPhone 13 Pro
Geekbench AI Score
3245
Single Precision Score
20032
Half Precision Score
23344
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Petenka315 |
| Upload Date | April 13 2025 11:49 AM |
| Views | 3 |
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% |
1324
246.2 IPS |
|
|
Image Classification (HP)
|
100% |
8671
1.61 KIPS |
|
|
Image Classification (Q)
|
96% |
10998
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12685
205.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
15457
250.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6292
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
88968
103.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
93213
109.3 IPS |
|
|
Object Detection (SP)
|
100% |
1425
113.0 IPS |
|
|
Object Detection (HP)
|
99% |
10833
861.8 IPS |
|
|
Object Detection (Q)
|
91% |
12157
971.4 IPS |
|
|
Face Detection (SP)
|
100% |
2677
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
29195
346.9 IPS |
|
|
Face Detection (Q)
|
100% |
37219
442.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5262
40.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
57358
441.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
74626
583.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17667
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
150424
193.4 IPS |
|
|
Style Transfer (Q)
|
96% |
165389
213.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3883
143.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25976
959.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31656
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
2436
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
2416
3.22 KIPS |
|
|
Text Classification (Q)
|
93% |
2441
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3638
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6211
107.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7028
121.5 IPS |
