iPhone 13 Pro
Geekbench AI Score
3296
Single Precision Score
19180
Half Precision Score
21494
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | September 02 2025 07:47 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1358
252.5 IPS |
|
|
Image Classification (HP)
|
100% |
8290
1.54 KIPS |
|
|
Image Classification (Q)
|
96% |
9604
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12157
197.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
14522
235.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6198
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
80720
94.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
81217
95.2 IPS |
|
|
Object Detection (SP)
|
100% |
1464
116.1 IPS |
|
|
Object Detection (HP)
|
99% |
10629
845.5 IPS |
|
|
Object Detection (Q)
|
91% |
11363
908.0 IPS |
|
|
Face Detection (SP)
|
100% |
2669
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
26454
314.3 IPS |
|
|
Face Detection (Q)
|
100% |
33112
393.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5374
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
55249
425.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
75471
589.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17310
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
150791
193.8 IPS |
|
|
Style Transfer (Q)
|
96% |
146954
189.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3927
145.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27184
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28516
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2629
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2129
2.84 KIPS |
|
|
Text Classification (Q)
|
93% |
2273
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3695
63.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6111
105.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6871
118.7 IPS |
