iPhone 13 Pro
Geekbench AI Score
3890
Single Precision Score
4436
Half Precision Score
4202
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | February 05 2026 01:37 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1423
264.5 IPS |
|
|
Image Classification (HP)
|
100% |
1433
266.6 IPS |
|
|
Image Classification (Q)
|
96% |
1516
283.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2783
45.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2914
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2784
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11228
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12636
14.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
12254
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1928
152.9 IPS |
|
|
Object Detection (HP)
|
100% |
1987
157.6 IPS |
|
|
Object Detection (Q)
|
92% |
1778
142.0 IPS |
|
|
Face Detection (SP)
|
100% |
4899
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
6401
76.1 IPS |
|
|
Face Detection (Q)
|
100% |
4987
59.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8592
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9541
73.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8574
67.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18721
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23260
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22432
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4782
176.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4804
177.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4430
163.6 IPS |
|
|
Text Classification (SP)
|
100% |
2365
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4131
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4139
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1040
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1000
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1062
18.3 IPS |
