iPhone 13 Pro
Geekbench AI Score
3220
Single Precision Score
5704
Half Precision Score
4616
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 29 2025 09:29 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1347
250.4 IPS |
|
|
Image Classification (HP)
|
100% |
2359
438.6 IPS |
|
|
Image Classification (Q)
|
96% |
1622
302.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1284
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1958
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2408
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6277
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
14355
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12266
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1387
110.0 IPS |
|
|
Object Detection (HP)
|
97% |
2696
214.6 IPS |
|
|
Object Detection (Q)
|
94% |
1913
152.5 IPS |
|
|
Face Detection (SP)
|
100% |
2682
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
5587
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
3125
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5304
40.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10465
80.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7324
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16809
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27595
35.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22152
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3805
140.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4773
176.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3614
133.4 IPS |
|
|
Text Classification (SP)
|
100% |
2482
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
4204
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4180
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3534
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6309
109.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6269
108.3 IPS |
