iPhone 13
Geekbench AI Score
2854
Single Precision Score
4346
Half Precision Score
3550
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 11 2024 10:49 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 3.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1383
257.1 IPS |
|
|
Image Classification (HP)
|
100% |
1770
329.2 IPS |
|
|
Image Classification (Q)
|
99% |
1759
328.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1120
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1121
18.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1115
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5605
6.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
12638
14.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
10732
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1345
106.7 IPS |
|
|
Object Detection (HP)
|
97% |
2026
161.3 IPS |
|
|
Object Detection (Q)
|
94% |
1532
122.1 IPS |
|
|
Face Detection (SP)
|
100% |
2187
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
3678
43.7 IPS |
|
|
Face Detection (Q)
|
100% |
2376
28.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4450
34.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7434
57.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
3449
26.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15029
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23563
30.3 IPS |
|
|
Style Transfer (Q)
|
100% |
23705
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3299
121.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4622
170.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3283
121.6 IPS |
|
|
Text Classification (SP)
|
100% |
2365
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3888
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3844
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2696
46.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4087
70.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4027
69.6 IPS |
