iPhone 13 Pro
Geekbench AI Score
4019
Single Precision Score
4535
Half Precision Score
4219
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 01 2025 05:44 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1687
313.7 IPS |
|
|
Image Classification (HP)
|
100% |
1552
288.7 IPS |
|
|
Image Classification (Q)
|
96% |
1585
296.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2799
45.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2844
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2704
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11273
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12652
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12279
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1980
157.1 IPS |
|
|
Object Detection (HP)
|
100% |
2032
161.2 IPS |
|
|
Object Detection (Q)
|
92% |
1818
145.1 IPS |
|
|
Face Detection (SP)
|
100% |
4943
58.7 IPS |
|
|
Face Detection (HP)
|
100% |
6177
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
4965
59.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8516
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9165
70.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
8460
66.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18916
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23806
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22978
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4938
182.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5085
187.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4402
162.5 IPS |
|
|
Text Classification (SP)
|
100% |
2495
3.33 KIPS |
|
|
Text Classification (HP)
|
100% |
4288
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4268
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1065
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1105
19.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1031
17.8 IPS |
