iPhone 13 Pro
Geekbench AI Score
3139
Single Precision Score
5747
Half Precision Score
4712
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | October 21 2025 07:55 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1262
234.7 IPS |
|
|
Image Classification (HP)
|
100% |
2413
448.8 IPS |
|
|
Image Classification (Q)
|
96% |
1685
314.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1275
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1963
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2451
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5895
6.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
14138
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12034
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1313
104.1 IPS |
|
|
Object Detection (HP)
|
97% |
2727
217.1 IPS |
|
|
Object Detection (Q)
|
94% |
1966
156.7 IPS |
|
|
Face Detection (SP)
|
100% |
2632
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
5688
67.6 IPS |
|
|
Face Detection (Q)
|
100% |
3219
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5141
39.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10593
81.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7438
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17102
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27203
35.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22724
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3627
133.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4809
177.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3669
135.5 IPS |
|
|
Text Classification (SP)
|
100% |
2573
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
4180
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4158
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3460
59.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6540
113.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6667
115.2 IPS |
