iPhone 13 Pro
Geekbench AI Score
3973
Single Precision Score
4482
Half Precision Score
4169
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 19 2025 12:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1677
311.8 IPS |
|
|
Image Classification (HP)
|
100% |
1616
300.6 IPS |
|
|
Image Classification (Q)
|
96% |
1650
308.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2784
45.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2892
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2745
44.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11388
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
12215
14.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11891
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1969
156.2 IPS |
|
|
Object Detection (HP)
|
100% |
2019
160.1 IPS |
|
|
Object Detection (Q)
|
92% |
1819
145.2 IPS |
|
|
Face Detection (SP)
|
100% |
4942
58.7 IPS |
|
|
Face Detection (HP)
|
100% |
6224
74.0 IPS |
|
|
Face Detection (Q)
|
100% |
4785
56.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8522
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9045
69.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8352
65.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18871
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23482
30.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22694
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5002
184.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5135
189.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4410
162.9 IPS |
|
|
Text Classification (SP)
|
100% |
2393
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4243
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4154
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
986
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
987
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
975
16.8 IPS |
