iPhone 13
Geekbench AI Score
2826
Single Precision Score
3145
Half Precision Score
2968
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 10:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 13 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| 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 | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
650
120.8 IPS |
|
|
Image Classification (HP)
|
100% |
586
109.0 IPS |
|
|
Image Classification (Q)
|
96% |
726
135.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2290
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2292
37.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2241
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9217
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10316
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9951
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1040
82.5 IPS |
|
|
Object Detection (HP)
|
100% |
1063
84.3 IPS |
|
|
Object Detection (Q)
|
92% |
871
69.5 IPS |
|
|
Face Detection (SP)
|
100% |
4254
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
4894
58.2 IPS |
|
|
Face Detection (Q)
|
100% |
3911
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6950
53.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6764
52.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6648
51.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16693
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19664
25.3 IPS |
|
|
Style Transfer (Q)
|
96% |
18793
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2776
102.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2815
103.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2567
94.8 IPS |
|
|
Text Classification (SP)
|
100% |
2395
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4134
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4123
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
694
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
729
12.6 IPS |
