iPhone 13 Pro
Geekbench AI Score
3093
Single Precision Score
18936
Half Precision Score
20919
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | October 19 2025 09:16 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1242
231.0 IPS |
|
|
Image Classification (HP)
|
100% |
7908
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
9202
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1261
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12876
208.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
12783
207.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5628
6.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
74287
86.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
82062
96.2 IPS |
|
|
Object Detection (SP)
|
100% |
1328
105.4 IPS |
|
|
Object Detection (HP)
|
99% |
10085
802.3 IPS |
|
|
Object Detection (Q)
|
91% |
12091
966.1 IPS |
|
|
Face Detection (SP)
|
100% |
2587
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
23738
282.1 IPS |
|
|
Face Detection (Q)
|
100% |
31873
378.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4850
37.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
53927
415.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
68906
538.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16717
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
151576
194.9 IPS |
|
|
Style Transfer (Q)
|
96% |
142194
183.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3673
135.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28215
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27094
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2583
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
2346
3.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2431
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3451
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6052
104.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6686
115.5 IPS |
