iPhone 13
Geekbench AI Score
3172
Single Precision Score
16478
Half Precision Score
18352
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 07:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1350
251.0 IPS |
|
|
Image Classification (HP)
|
100% |
8935
1.66 KIPS |
|
|
Image Classification (Q)
|
96% |
9734
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1325
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6923
112.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8474
137.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5849
6.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
82742
96.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
93416
109.5 IPS |
|
|
Object Detection (SP)
|
100% |
1424
113.0 IPS |
|
|
Object Detection (HP)
|
99% |
10869
864.6 IPS |
|
|
Object Detection (Q)
|
91% |
11833
945.5 IPS |
|
|
Face Detection (SP)
|
100% |
2781
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
28249
335.7 IPS |
|
|
Face Detection (Q)
|
100% |
32403
385.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5194
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
51874
399.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
72301
565.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15994
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
152948
196.6 IPS |
|
|
Style Transfer (Q)
|
96% |
151768
195.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3735
137.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25830
953.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27911
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2370
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
2230
2.98 KIPS |
|
|
Text Classification (Q)
|
93% |
2371
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3388
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2056
35.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2020
34.9 IPS |
