iPhone 13 Pro
Geekbench AI Score
3176
Single Precision Score
19255
Half Precision Score
21728
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | January 11 2026 06:42 AM |
| Views | 3 |
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% |
1257
233.8 IPS |
|
|
Image Classification (HP)
|
100% |
7434
1.38 KIPS |
|
|
Image Classification (Q)
|
96% |
10742
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1296
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12306
199.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
13281
215.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6099
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
81596
95.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
82113
96.2 IPS |
|
|
Object Detection (SP)
|
100% |
1348
106.9 IPS |
|
|
Object Detection (HP)
|
99% |
10270
816.9 IPS |
|
|
Object Detection (Q)
|
91% |
11893
950.3 IPS |
|
|
Face Detection (SP)
|
100% |
2632
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
24668
293.1 IPS |
|
|
Face Detection (Q)
|
100% |
31804
377.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5199
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
52978
408.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
74659
583.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17317
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
155805
200.3 IPS |
|
|
Style Transfer (Q)
|
96% |
142898
184.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3726
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29819
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28190
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2571
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
2441
3.26 KIPS |
|
|
Text Classification (Q)
|
93% |
2521
3.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3445
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6166
106.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6982
120.7 IPS |
