iPhone 15
Geekbench AI Score
3399
Single Precision Score
5954
Half Precision Score
4805
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Navalpuri |
| Upload Date | November 17 2024 04:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 15 |
| Model ID | iPhone15,4 |
| Motherboard | D37AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1454
270.5 IPS |
|
|
Image Classification (HP)
|
100% |
2556
475.3 IPS |
|
|
Image Classification (Q)
|
96% |
1754
327.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2261
36.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2704
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6214
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
13614
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11613
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
97% |
2856
227.4 IPS |
|
|
Object Detection (Q)
|
94% |
2024
161.3 IPS |
|
|
Face Detection (SP)
|
100% |
2976
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
6048
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
3367
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5760
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11678
90.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7940
62.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17222
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26605
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22770
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3838
141.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4860
179.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3634
134.2 IPS |
|
|
Text Classification (SP)
|
100% |
2615
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4673
6.24 KIPS |
|
|
Text Classification (Q)
|
93% |
4563
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3376
58.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5840
100.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5832
100.8 IPS |
