iPhone 13 Pro
Geekbench AI Score
3159
Single Precision Score
19587
Half Precision Score
22327
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 30 2025 11:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1265
235.2 IPS |
|
|
Image Classification (HP)
|
100% |
7758
1.44 KIPS |
|
|
Image Classification (Q)
|
96% |
10603
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1257
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12760
206.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
14600
236.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5955
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
81463
95.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
82657
96.9 IPS |
|
|
Object Detection (SP)
|
100% |
1335
105.9 IPS |
|
|
Object Detection (HP)
|
99% |
10700
851.2 IPS |
|
|
Object Detection (Q)
|
91% |
12613
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
2639
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
25943
308.3 IPS |
|
|
Face Detection (Q)
|
100% |
37619
447.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5171
39.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
56451
434.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
68769
537.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17328
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
145473
187.0 IPS |
|
|
Style Transfer (Q)
|
96% |
141230
182.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3712
137.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29836
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29182
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2592
3.46 KIPS |
|
|
Text Classification (HP)
|
100% |
2468
3.29 KIPS |
|
|
Text Classification (Q)
|
93% |
2542
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3445
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6141
105.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7040
121.7 IPS |
