iPhone 15
Geekbench AI Score
3502
Single Precision Score
22946
Half Precision Score
26512
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mastersproxy1 |
| Upload Date | December 13 2024 01:07 PM |
| Views | 6 |
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% |
1435
266.9 IPS |
|
|
Image Classification (HP)
|
100% |
10038
1.87 KIPS |
|
|
Image Classification (Q)
|
97% |
13033
2.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1459
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14042
227.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
18130
293.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6201
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
96264
112.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
101956
119.5 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.9 IPS |
|
|
Object Detection (HP)
|
100% |
13033
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14941
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3229
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
31183
370.5 IPS |
|
|
Face Detection (Q)
|
100% |
39182
465.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6006
46.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
75970
585.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
97909
765.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18949
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
171020
219.8 IPS |
|
|
Style Transfer (Q)
|
96% |
175750
226.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4172
154.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31295
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36531
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
2607
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
2368
3.16 KIPS |
|
|
Text Classification (Q)
|
93% |
2378
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3397
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7623
131.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8139
140.6 IPS |
