iPhone 13 Pro
Geekbench AI Score
3290
Single Precision Score
5789
Half Precision Score
4692
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | paz_levi |
| Upload Date | August 19 2025 04:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1350
251.1 IPS |
|
|
Image Classification (HP)
|
100% |
2364
439.7 IPS |
|
|
Image Classification (Q)
|
96% |
1622
303.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1280
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1978
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2434
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6582
7.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
14746
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12244
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1464
116.1 IPS |
|
|
Object Detection (HP)
|
97% |
2724
216.9 IPS |
|
|
Object Detection (Q)
|
94% |
1944
154.9 IPS |
|
|
Face Detection (SP)
|
100% |
2692
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
5628
66.9 IPS |
|
|
Face Detection (Q)
|
100% |
3214
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5388
41.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10553
81.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7404
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17667
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28108
36.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22833
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3835
141.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4778
176.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3640
134.4 IPS |
|
|
Text Classification (SP)
|
100% |
2462
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4410
5.89 KIPS |
|
|
Text Classification (Q)
|
93% |
4370
5.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3689
63.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6406
110.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6373
110.1 IPS |
