iPhone 13 Pro
Geekbench AI Score
2983
Single Precision Score
4511
Half Precision Score
3846
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | June 27 2025 12:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1397
259.8 IPS |
|
|
Image Classification (HP)
|
100% |
1785
332.0 IPS |
|
|
Image Classification (Q)
|
96% |
1369
255.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1172
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1133
18.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1649
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5724
6.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
13557
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11603
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1438
114.1 IPS |
|
|
Object Detection (HP)
|
97% |
2111
168.0 IPS |
|
|
Object Detection (Q)
|
94% |
1573
125.4 IPS |
|
|
Face Detection (SP)
|
100% |
2288
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
3827
45.5 IPS |
|
|
Face Detection (Q)
|
100% |
2433
28.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4628
35.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
7755
59.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
5978
46.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16152
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25270
32.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21113
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3525
130.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4812
177.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3464
127.9 IPS |
|
|
Text Classification (SP)
|
100% |
2353
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3894
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3855
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2924
50.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4292
74.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4200
72.6 IPS |
