iPhone 13
Geekbench AI Score
3316
Single Precision Score
19940
Half Precision Score
22482
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | phoenixwrites |
| Upload Date | March 09 2025 02:54 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1349
250.9 IPS |
|
|
Image Classification (HP)
|
100% |
9057
1.68 KIPS |
|
|
Image Classification (Q)
|
96% |
9935
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1333
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12115
196.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
13835
224.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6626
7.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
87357
101.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
94221
110.4 IPS |
|
|
Object Detection (SP)
|
100% |
1491
118.3 IPS |
|
|
Object Detection (HP)
|
99% |
11135
885.8 IPS |
|
|
Object Detection (Q)
|
91% |
11349
906.9 IPS |
|
|
Face Detection (SP)
|
100% |
2788
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
25499
303.0 IPS |
|
|
Face Detection (Q)
|
100% |
32892
390.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5546
42.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
55273
425.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
76513
597.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17790
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
158388
203.6 IPS |
|
|
Style Transfer (Q)
|
96% |
168956
218.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3935
145.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28509
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28352
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2374
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
2380
3.18 KIPS |
|
|
Text Classification (Q)
|
93% |
2450
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3522
60.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6147
105.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7601
131.4 IPS |
