iPhone 13 Pro
Geekbench AI Score
2897
Single Precision Score
5300
Half Precision Score
4326
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 08:40 PM |
| Views | 2 |
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% |
1153
214.4 IPS |
|
|
Image Classification (HP)
|
100% |
2191
407.4 IPS |
|
|
Image Classification (Q)
|
96% |
1512
282.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1174
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1808
29.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2227
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5358
6.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
12913
15.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
10983
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1227
97.3 IPS |
|
|
Object Detection (HP)
|
97% |
2515
200.2 IPS |
|
|
Object Detection (Q)
|
94% |
1793
142.9 IPS |
|
|
Face Detection (SP)
|
100% |
2504
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
5235
62.2 IPS |
|
|
Face Detection (Q)
|
100% |
2930
34.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4710
36.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9625
74.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6767
52.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15450
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
24345
31.3 IPS |
|
|
Style Transfer (Q)
|
96% |
20374
26.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3323
122.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4330
159.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3362
124.2 IPS |
|
|
Text Classification (SP)
|
100% |
2415
3.22 KIPS |
|
|
Text Classification (HP)
|
99% |
4081
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4065
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3209
55.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6274
108.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6278
108.5 IPS |
