iPhone 13
Geekbench AI Score
2671
Single Precision Score
2869
Half Precision Score
2502
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Ramonndafonseca |
| Upload Date | October 27 2024 03:47 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1013
188.5 IPS |
|
|
Image Classification (HP)
|
100% |
814
151.4 IPS |
|
|
Image Classification (Q)
|
97% |
623
116.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2052
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1983
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2005
32.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9260
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10038
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9129
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1093
86.7 IPS |
|
|
Object Detection (HP)
|
100% |
1025
81.3 IPS |
|
|
Object Detection (Q)
|
91% |
816
65.2 IPS |
|
|
Face Detection (SP)
|
100% |
3394
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
4803
57.1 IPS |
|
|
Face Detection (Q)
|
100% |
3246
38.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7204
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6491
50.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
5966
46.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16737
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19336
24.9 IPS |
|
|
Style Transfer (Q)
|
96% |
17598
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2831
104.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2937
108.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2331
86.1 IPS |
|
|
Text Classification (SP)
|
100% |
2389
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4070
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4046
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
318
5.47 IPS |
|
|
Machine Translation (HP)
|
100% |
316
5.44 IPS |
|
|
Machine Translation (Q)
|
98% |
322
5.57 IPS |
