iPhone 13 Pro
Geekbench AI Score
3760
Single Precision Score
4135
Half Precision Score
3579
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 07:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1655
307.8 IPS |
|
|
Image Classification (HP)
|
100% |
1453
270.1 IPS |
|
|
Image Classification (Q)
|
97% |
1335
249.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2293
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2464
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2488
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11291
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12255
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11079
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1977
156.8 IPS |
|
|
Object Detection (HP)
|
100% |
2027
160.7 IPS |
|
|
Object Detection (Q)
|
91% |
1561
124.7 IPS |
|
|
Face Detection (SP)
|
100% |
4746
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
5906
70.2 IPS |
|
|
Face Detection (Q)
|
100% |
4016
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8480
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8955
69.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6956
54.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18773
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23152
29.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21105
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4714
174.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4867
179.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3801
140.4 IPS |
|
|
Text Classification (SP)
|
100% |
2380
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
3999
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3954
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
788
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
691
11.9 IPS |
|
|
Machine Translation (Q)
|
98% |
679
11.7 IPS |
