iPhone 13 Pro
Geekbench AI Score
3067
Single Precision Score
19754
Half Precision Score
22345
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jcpenni |
| Upload Date | September 17 2025 07:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1217
226.3 IPS |
|
|
Image Classification (HP)
|
100% |
7865
1.46 KIPS |
|
|
Image Classification (Q)
|
96% |
10855
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1262
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13030
211.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13678
221.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5549
6.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
80267
93.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
94445
110.7 IPS |
|
|
Object Detection (SP)
|
100% |
1304
103.4 IPS |
|
|
Object Detection (HP)
|
99% |
10596
842.9 IPS |
|
|
Object Detection (Q)
|
91% |
12298
982.7 IPS |
|
|
Face Detection (SP)
|
100% |
2612
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
29282
347.9 IPS |
|
|
Face Detection (Q)
|
100% |
37055
440.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5069
39.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
55919
430.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
69011
539.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16321
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
148542
191.0 IPS |
|
|
Style Transfer (Q)
|
96% |
144252
186.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3569
131.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29040
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28961
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2547
3.40 KIPS |
|
|
Text Classification (HP)
|
100% |
2374
3.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2411
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3379
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6191
106.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6988
120.8 IPS |
