iPhone 13 Pro
Geekbench AI Score
3963
Single Precision Score
4519
Half Precision Score
4215
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | April 16 2025 09:13 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1732
322.2 IPS |
|
|
Image Classification (HP)
|
100% |
1620
301.4 IPS |
|
|
Image Classification (Q)
|
96% |
1579
294.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2796
45.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2907
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2791
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11512
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
12334
14.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
11996
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1954
155.0 IPS |
|
|
Object Detection (HP)
|
100% |
2032
161.2 IPS |
|
|
Object Detection (Q)
|
92% |
1833
146.3 IPS |
|
|
Face Detection (SP)
|
100% |
4856
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
6227
74.0 IPS |
|
|
Face Detection (Q)
|
100% |
4905
58.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8482
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9106
70.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8361
65.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18786
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23436
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22661
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4967
183.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4993
184.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4372
161.4 IPS |
|
|
Text Classification (SP)
|
100% |
2417
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4275
5.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4279
5.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
945
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1062
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1051
18.2 IPS |
