iPhone 13 Pro
Geekbench AI Score
3233
Single Precision Score
5701
Half Precision Score
4630
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 09:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1349
250.8 IPS |
|
|
Image Classification (HP)
|
100% |
2353
437.6 IPS |
|
|
Image Classification (Q)
|
96% |
1631
304.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1274
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1955
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2419
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6382
7.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
14584
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11882
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1394
110.6 IPS |
|
|
Object Detection (HP)
|
97% |
2711
215.8 IPS |
|
|
Object Detection (Q)
|
94% |
1909
152.1 IPS |
|
|
Face Detection (SP)
|
100% |
2675
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
5549
65.9 IPS |
|
|
Face Detection (Q)
|
100% |
3126
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5238
40.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10496
81.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7315
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17305
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27402
35.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22798
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3832
141.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4786
176.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3642
134.5 IPS |
|
|
Text Classification (SP)
|
100% |
2488
3.32 KIPS |
|
|
Text Classification (HP)
|
100% |
4198
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4300
5.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3530
60.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6223
107.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6209
107.3 IPS |
