iPhone 13 Pro
Geekbench AI Score
4096
Single Precision Score
4571
Half Precision Score
4282
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Petenka315 |
| Upload Date | April 13 2025 11:53 AM |
| Views | 2 |
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% |
1934
359.6 IPS |
|
|
Image Classification (HP)
|
100% |
1742
323.9 IPS |
|
|
Image Classification (Q)
|
96% |
1689
315.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2825
45.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2999
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2863
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11479
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
12671
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12294
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
2007
159.2 IPS |
|
|
Object Detection (HP)
|
100% |
2085
165.4 IPS |
|
|
Object Detection (Q)
|
92% |
1895
151.3 IPS |
|
|
Face Detection (SP)
|
100% |
4953
58.9 IPS |
|
|
Face Detection (HP)
|
100% |
6458
76.7 IPS |
|
|
Face Detection (Q)
|
100% |
5073
60.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8562
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9346
72.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8631
67.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19191
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23935
30.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23289
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5147
190.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4978
183.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4353
160.7 IPS |
|
|
Text Classification (SP)
|
100% |
2434
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4156
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4153
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1037
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
966
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
999
17.3 IPS |
