iPhone 13 Pro
Geekbench AI Score
2924
Single Precision Score
5454
Half Precision Score
4397
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 07:31 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1229
228.6 IPS |
|
|
Image Classification (HP)
|
100% |
2175
404.4 IPS |
|
|
Image Classification (Q)
|
96% |
1581
295.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1203
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1861
30.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2300
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5335
6.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
13127
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
10927
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1244
98.7 IPS |
|
|
Object Detection (HP)
|
97% |
2610
207.8 IPS |
|
|
Object Detection (Q)
|
94% |
1811
144.3 IPS |
|
|
Face Detection (SP)
|
100% |
2499
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
5301
63.0 IPS |
|
|
Face Detection (Q)
|
100% |
2917
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4765
36.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10044
77.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7021
54.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14557
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25446
32.7 IPS |
|
|
Style Transfer (Q)
|
96% |
19801
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3386
125.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4772
176.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3564
131.6 IPS |
|
|
Text Classification (SP)
|
100% |
2559
3.42 KIPS |
|
|
Text Classification (HP)
|
99% |
4179
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4158
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3100
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6221
107.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6258
108.2 IPS |
