iPhone 13
Geekbench AI Score
3206
Single Precision Score
5538
Half Precision Score
4461
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 06:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
2360
438.8 IPS |
|
|
Image Classification (Q)
|
96% |
1618
302.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1342
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1979
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2408
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6033
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
13184
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11211
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1401
111.1 IPS |
|
|
Object Detection (HP)
|
97% |
2682
213.6 IPS |
|
|
Object Detection (Q)
|
94% |
1893
150.9 IPS |
|
|
Face Detection (SP)
|
100% |
2726
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
5559
66.1 IPS |
|
|
Face Detection (Q)
|
100% |
3060
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5289
40.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10791
83.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7296
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16762
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26195
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21516
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3773
139.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4632
171.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3460
127.8 IPS |
|
|
Text Classification (SP)
|
100% |
2391
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4070
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4047
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3440
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5550
95.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5612
97.0 IPS |
