iPhone 13
Geekbench AI Score
3143
Single Precision Score
18743
Half Precision Score
21260
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 12:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1355
251.9 IPS |
|
|
Image Classification (HP)
|
100% |
9416
1.75 KIPS |
|
|
Image Classification (Q)
|
96% |
9787
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1325
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
11804
191.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
15070
244.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5845
6.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
83927
97.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
92604
108.5 IPS |
|
|
Object Detection (SP)
|
100% |
1400
111.0 IPS |
|
|
Object Detection (HP)
|
99% |
10477
833.4 IPS |
|
|
Object Detection (Q)
|
91% |
11770
940.5 IPS |
|
|
Face Detection (SP)
|
100% |
2759
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
26166
310.9 IPS |
|
|
Face Detection (Q)
|
100% |
36002
427.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5173
39.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
53230
410.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
70789
553.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15037
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
149005
191.5 IPS |
|
|
Style Transfer (Q)
|
96% |
154503
199.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3704
136.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26395
974.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27268
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2341
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
2229
2.97 KIPS |
|
|
Text Classification (Q)
|
93% |
2292
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3448
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4484
77.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4770
82.4 IPS |
