iPhone 15
Geekbench AI Score
3371
Single Precision Score
22002
Half Precision Score
25615
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 05:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 5.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1417
263.4 IPS |
|
|
Image Classification (HP)
|
100% |
10133
1.88 KIPS |
|
|
Image Classification (Q)
|
97% |
11949
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14112
228.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18042
292.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5871
6.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
89924
104.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
102752
120.4 IPS |
|
|
Object Detection (SP)
|
100% |
1423
112.9 IPS |
|
|
Object Detection (HP)
|
100% |
12924
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
15156
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
3128
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
31815
378.0 IPS |
|
|
Face Detection (Q)
|
100% |
40370
479.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5762
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
75169
579.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
94857
741.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17134
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
174101
223.8 IPS |
|
|
Style Transfer (Q)
|
96% |
175522
226.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3943
145.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32124
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39518
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
2642
3.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1662
2.22 KIPS |
|
|
Text Classification (Q)
|
93% |
1703
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3455
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7199
124.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8009
138.4 IPS |
