iPhone 13 Pro
Geekbench AI Score
3148
Single Precision Score
5847
Half Precision Score
4721
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 03:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1264
235.1 IPS |
|
|
Image Classification (HP)
|
100% |
2430
452.0 IPS |
|
|
Image Classification (Q)
|
96% |
1685
314.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1292
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2032
32.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2444
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5969
6.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
14497
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12059
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1330
105.5 IPS |
|
|
Object Detection (HP)
|
97% |
2726
217.0 IPS |
|
|
Object Detection (Q)
|
94% |
1950
155.4 IPS |
|
|
Face Detection (SP)
|
100% |
2590
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
5707
67.8 IPS |
|
|
Face Detection (Q)
|
100% |
3194
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5129
39.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10463
80.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7449
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17048
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27309
35.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22420
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3657
135.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5052
186.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3714
137.1 IPS |
|
|
Text Classification (SP)
|
100% |
2589
3.46 KIPS |
|
|
Text Classification (HP)
|
99% |
4344
5.80 KIPS |
|
|
Text Classification (Q)
|
93% |
4369
5.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3442
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6690
115.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6574
113.6 IPS |
