iPhone 13
Geekbench AI Score
3182
Single Precision Score
5523
Half Precision Score
4423
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 05:23 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1346
250.4 IPS |
|
|
Image Classification (HP)
|
100% |
2340
435.2 IPS |
|
|
Image Classification (Q)
|
96% |
1622
302.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1329
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1976
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2439
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6078
7.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
13280
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
10902
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1377
109.2 IPS |
|
|
Object Detection (HP)
|
97% |
2620
208.5 IPS |
|
|
Object Detection (Q)
|
94% |
1849
147.4 IPS |
|
|
Face Detection (SP)
|
100% |
2736
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
5518
65.6 IPS |
|
|
Face Detection (Q)
|
100% |
3054
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5233
40.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10834
83.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7283
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16585
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26130
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21230
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3693
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4623
170.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3420
126.3 IPS |
|
|
Text Classification (SP)
|
100% |
2386
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4128
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4072
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3404
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5511
95.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5473
94.6 IPS |
