iPhone 13
Geekbench AI Score
3168
Single Precision Score
5570
Half Precision Score
4488
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | nugaetechnicae |
| Upload Date | April 07 2025 12:52 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1306
242.8 IPS |
|
|
Image Classification (HP)
|
100% |
2347
436.5 IPS |
|
|
Image Classification (Q)
|
96% |
1626
303.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1310
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1947
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2395
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6058
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
13729
16.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11280
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1376
109.2 IPS |
|
|
Object Detection (HP)
|
97% |
2651
211.1 IPS |
|
|
Object Detection (Q)
|
94% |
1863
148.5 IPS |
|
|
Face Detection (SP)
|
100% |
2728
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
5352
63.6 IPS |
|
|
Face Detection (Q)
|
100% |
3001
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5128
39.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10320
79.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7076
55.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16277
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26467
34.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21478
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3649
134.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4719
174.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3540
130.7 IPS |
|
|
Text Classification (SP)
|
100% |
2425
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4175
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4172
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3545
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6007
103.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6026
104.1 IPS |
