iPhone 13 Pro
Geekbench AI Score
4035
Single Precision Score
4519
Half Precision Score
4203
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | paz_levi |
| Upload Date | August 19 2025 04:19 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1698
315.8 IPS |
|
|
Image Classification (HP)
|
100% |
1577
293.2 IPS |
|
|
Image Classification (Q)
|
96% |
1574
293.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2796
45.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2850
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2752
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11269
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12837
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12312
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1968
156.1 IPS |
|
|
Object Detection (HP)
|
100% |
2002
158.8 IPS |
|
|
Object Detection (Q)
|
92% |
1839
146.8 IPS |
|
|
Face Detection (SP)
|
100% |
5009
59.5 IPS |
|
|
Face Detection (HP)
|
100% |
6200
73.7 IPS |
|
|
Face Detection (Q)
|
100% |
4942
58.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8563
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9318
71.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8467
66.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18867
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23719
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23067
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4891
180.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5166
190.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4524
167.1 IPS |
|
|
Text Classification (SP)
|
100% |
2479
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
4344
5.80 KIPS |
|
|
Text Classification (Q)
|
93% |
4289
5.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1110
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1000
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
937
16.2 IPS |
