iPhone 13 Pro
Geekbench AI Score
3253
Single Precision Score
5759
Half Precision Score
4676
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | HNSDMPF |
| Upload Date | June 17 2025 01:39 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1361
253.1 IPS |
|
|
Image Classification (HP)
|
100% |
2419
449.9 IPS |
|
|
Image Classification (Q)
|
96% |
1669
311.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1311
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1961
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2440
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6233
7.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
14205
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11909
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1422
112.8 IPS |
|
|
Object Detection (HP)
|
97% |
2724
216.9 IPS |
|
|
Object Detection (Q)
|
94% |
1935
154.3 IPS |
|
|
Face Detection (SP)
|
100% |
2703
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
5622
66.8 IPS |
|
|
Face Detection (Q)
|
100% |
3169
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5301
40.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10542
81.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7367
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17232
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27752
35.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22642
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3818
141.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4770
176.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3700
136.6 IPS |
|
|
Text Classification (SP)
|
100% |
2481
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
4202
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4168
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3594
61.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6643
114.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6544
113.1 IPS |
