iPhone 13 Pro
Geekbench AI Score
3304
Single Precision Score
5713
Half Precision Score
4627
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 30 2025 10:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1365
253.9 IPS |
|
|
Image Classification (HP)
|
100% |
2355
438.0 IPS |
|
|
Image Classification (Q)
|
96% |
1628
304.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1305
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2006
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2488
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6553
7.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
14373
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12236
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1477
117.2 IPS |
|
|
Object Detection (HP)
|
97% |
2762
219.9 IPS |
|
|
Object Detection (Q)
|
94% |
1943
154.9 IPS |
|
|
Face Detection (SP)
|
100% |
2758
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
5795
68.9 IPS |
|
|
Face Detection (Q)
|
100% |
3271
38.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5580
43.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11233
86.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7677
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17809
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27076
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22504
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3960
146.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4736
174.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3535
130.5 IPS |
|
|
Text Classification (SP)
|
100% |
2436
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4124
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4100
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3406
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5744
99.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5711
98.7 IPS |
