iPhone 13
Geekbench AI Score
2959
Single Precision Score
3283
Half Precision Score
2931
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Audiostetics |
| Upload Date | August 21 2025 06:33 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
952
177.0 IPS |
|
|
Image Classification (HP)
|
100% |
875
162.8 IPS |
|
|
Image Classification (Q)
|
96% |
522
97.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2324
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2355
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2227
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9291
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10371
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10000
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1185
94.0 IPS |
|
|
Object Detection (HP)
|
100% |
1013
80.3 IPS |
|
|
Object Detection (Q)
|
92% |
871
69.5 IPS |
|
|
Face Detection (SP)
|
100% |
3288
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
5050
60.0 IPS |
|
|
Face Detection (Q)
|
100% |
4053
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6748
52.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6281
48.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
7100
55.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16705
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19320
24.8 IPS |
|
|
Style Transfer (Q)
|
96% |
19118
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2911
107.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2999
110.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2667
98.5 IPS |
|
|
Text Classification (SP)
|
100% |
2465
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4284
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4296
5.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
854
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
734
12.7 IPS |
