iPhone 13 Pro
Geekbench AI Score
3182
Single Precision Score
5650
Half Precision Score
4513
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 09 2025 11:39 AM |
| Views | 3 |
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% |
1353
251.6 IPS |
|
|
Image Classification (HP)
|
100% |
2377
442.1 IPS |
|
|
Image Classification (Q)
|
96% |
1624
303.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1281
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1958
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2338
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6036
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
13948
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11663
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1411
111.9 IPS |
|
|
Object Detection (HP)
|
97% |
2673
212.8 IPS |
|
|
Object Detection (Q)
|
94% |
1715
136.7 IPS |
|
|
Face Detection (SP)
|
100% |
2611
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
5429
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3046
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5216
40.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10364
80.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7229
56.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16705
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27009
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22028
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3721
137.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4811
177.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3586
132.4 IPS |
|
|
Text Classification (SP)
|
100% |
2429
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4209
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4291
5.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3507
60.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6209
107.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6184
106.9 IPS |
