iPhone 13 Pro
Geekbench AI Score
3103
Single Precision Score
5732
Half Precision Score
4573
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | September 18 2025 02:10 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1268
235.8 IPS |
|
|
Image Classification (HP)
|
100% |
2414
449.0 IPS |
|
|
Image Classification (Q)
|
96% |
1672
312.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1258
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1958
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2431
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5794
6.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
14022
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12016
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1296
102.8 IPS |
|
|
Object Detection (HP)
|
97% |
2710
215.7 IPS |
|
|
Object Detection (Q)
|
94% |
1696
135.2 IPS |
|
|
Face Detection (SP)
|
100% |
2579
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
5509
65.5 IPS |
|
|
Face Detection (Q)
|
100% |
3103
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5178
39.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10552
81.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7076
55.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16337
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26871
34.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22009
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3600
132.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4819
177.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3651
134.8 IPS |
|
|
Text Classification (SP)
|
100% |
2564
3.42 KIPS |
|
|
Text Classification (HP)
|
99% |
4283
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4222
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3433
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6615
114.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6489
112.1 IPS |
