iPhone 15
Geekbench AI Score
3364
Single Precision Score
22548
Half Precision Score
26680
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 03:43 PM |
| Views | 2 |
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 | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1440
267.9 IPS |
|
|
Image Classification (HP)
|
100% |
10730
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
13305
2.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1441
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13972
226.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18438
298.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5789
6.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
96243
112.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
101825
119.3 IPS |
|
|
Object Detection (SP)
|
100% |
1522
120.7 IPS |
|
|
Object Detection (HP)
|
100% |
13042
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
15294
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
3162
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
31073
369.2 IPS |
|
|
Face Detection (Q)
|
100% |
39657
471.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5744
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
75174
579.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
97964
765.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16816
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
170994
219.8 IPS |
|
|
Style Transfer (Q)
|
96% |
172065
222.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3769
139.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34633
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37676
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
2628
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1784
2.38 KIPS |
|
|
Text Classification (Q)
|
93% |
2319
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3357
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7315
126.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8192
141.6 IPS |
