iPhone 13 Pro
Geekbench AI Score
3264
Single Precision Score
5738
Half Precision Score
4654
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | mersa |
| Upload Date | August 16 2025 09:08 AM |
| Views | 20 |
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% |
1339
249.1 IPS |
|
|
Image Classification (HP)
|
100% |
2362
439.3 IPS |
|
|
Image Classification (Q)
|
96% |
1629
304.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1284
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1962
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2415
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6513
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
14590
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12286
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1448
114.9 IPS |
|
|
Object Detection (HP)
|
97% |
2709
215.7 IPS |
|
|
Object Detection (Q)
|
94% |
1921
153.1 IPS |
|
|
Face Detection (SP)
|
100% |
2676
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
5618
66.7 IPS |
|
|
Face Detection (Q)
|
100% |
3184
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5318
41.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10518
81.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7277
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17550
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27918
35.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22902
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3843
141.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4765
175.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3612
133.4 IPS |
|
|
Text Classification (SP)
|
100% |
2449
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4250
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4238
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3608
62.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6326
109.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6326
109.3 IPS |
