iPhone 13 Pro
Geekbench AI Score
3234
Single Precision Score
5724
Half Precision Score
4622
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 25 2026 09:33 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1339
249.1 IPS |
|
|
Image Classification (HP)
|
100% |
2358
438.5 IPS |
|
|
Image Classification (Q)
|
96% |
1608
300.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1275
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1974
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2394
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6187
7.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
13825
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11552
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1425
113.0 IPS |
|
|
Object Detection (HP)
|
97% |
2717
216.3 IPS |
|
|
Object Detection (Q)
|
94% |
1917
152.8 IPS |
|
|
Face Detection (SP)
|
100% |
2672
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
5578
66.3 IPS |
|
|
Face Detection (Q)
|
100% |
3091
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5297
40.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10485
81.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7307
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17369
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27722
35.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22808
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3793
140.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4858
179.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3629
134.0 IPS |
|
|
Text Classification (SP)
|
100% |
2499
3.34 KIPS |
|
|
Text Classification (HP)
|
100% |
4318
5.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4320
5.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3571
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6350
109.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6476
111.9 IPS |
