iPhone 13 Pro
Geekbench AI Score
3323
Single Precision Score
6043
Half Precision Score
4895
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | aIpaca |
| Upload Date | March 19 2026 06:09 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1281
238.2 IPS |
|
|
Image Classification (HP)
|
100% |
2412
448.5 IPS |
|
|
Image Classification (Q)
|
96% |
1661
310.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1267
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1978
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2359
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5612
6.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
14136
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12017
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1317
104.5 IPS |
|
|
Object Detection (HP)
|
97% |
2746
218.6 IPS |
|
|
Object Detection (Q)
|
94% |
1971
157.1 IPS |
|
|
Face Detection (SP)
|
100% |
2688
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
5707
67.8 IPS |
|
|
Face Detection (Q)
|
100% |
3200
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5254
40.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10598
81.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7474
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16969
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28322
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22930
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3631
134.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4830
178.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3695
136.4 IPS |
|
|
Text Classification (SP)
|
100% |
4570
6.10 KIPS |
|
|
Text Classification (HP)
|
100% |
6959
9.29 KIPS |
|
|
Text Classification (Q)
|
92% |
6939
9.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3451
59.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6099
105.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6060
104.7 IPS |
