iPhone 13 Pro
Geekbench AI Score
3980
Single Precision Score
4555
Half Precision Score
4204
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 03 2026 08:49 AM |
| Views | 8 |
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% |
1653
307.4 IPS |
|
|
Image Classification (HP)
|
100% |
1614
300.1 IPS |
|
|
Image Classification (Q)
|
96% |
1558
290.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2807
45.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2872
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2736
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11245
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12638
14.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
12348
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1954
155.0 IPS |
|
|
Object Detection (HP)
|
100% |
2023
160.5 IPS |
|
|
Object Detection (Q)
|
92% |
1878
149.9 IPS |
|
|
Face Detection (SP)
|
100% |
4894
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
6321
75.1 IPS |
|
|
Face Detection (Q)
|
100% |
4951
58.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8462
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9177
70.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
8441
65.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18870
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23802
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22960
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4877
180.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5000
184.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4211
155.5 IPS |
|
|
Text Classification (SP)
|
100% |
2465
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4284
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4294
5.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1098
18.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1007
17.4 IPS |
