iPhone 13
Geekbench AI Score
3176
Single Precision Score
20110
Half Precision Score
22046
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 04:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1333
247.8 IPS |
|
|
Image Classification (HP)
|
100% |
9390
1.75 KIPS |
|
|
Image Classification (Q)
|
96% |
9997
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1328
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12867
208.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
13844
224.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5908
6.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
87776
102.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
94537
110.8 IPS |
|
|
Object Detection (SP)
|
100% |
1408
111.7 IPS |
|
|
Object Detection (HP)
|
99% |
11124
884.9 IPS |
|
|
Object Detection (Q)
|
91% |
11938
953.9 IPS |
|
|
Face Detection (SP)
|
100% |
2701
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
25981
308.7 IPS |
|
|
Face Detection (Q)
|
100% |
31910
379.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5177
39.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
55000
423.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
75249
588.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16292
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
153056
196.8 IPS |
|
|
Style Transfer (Q)
|
96% |
153162
197.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3725
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26778
988.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27595
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2436
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
2390
3.19 KIPS |
|
|
Text Classification (Q)
|
93% |
2397
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3432
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6554
112.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7140
123.4 IPS |
