iPhone 13
Geekbench AI Score
2938
Single Precision Score
5194
Half Precision Score
4156
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 08:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1321
245.7 IPS |
|
|
Image Classification (HP)
|
100% |
2295
426.9 IPS |
|
|
Image Classification (Q)
|
96% |
1538
287.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1221
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1897
30.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2270
36.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5379
6.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
11935
13.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
10019
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1256
99.6 IPS |
|
|
Object Detection (HP)
|
97% |
2469
196.5 IPS |
|
|
Object Detection (Q)
|
94% |
1725
137.5 IPS |
|
|
Face Detection (SP)
|
100% |
2429
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
5144
61.1 IPS |
|
|
Face Detection (Q)
|
100% |
2714
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4706
36.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10036
77.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7011
54.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14923
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23985
30.8 IPS |
|
|
Style Transfer (Q)
|
96% |
20516
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3473
128.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4293
158.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3134
115.7 IPS |
|
|
Text Classification (SP)
|
100% |
2337
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4050
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
3992
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3179
54.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5182
89.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5224
90.3 IPS |
