iPhone 15
Geekbench AI Score
2375
Single Precision Score
13088
Half Precision Score
15065
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 02:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1258
234.0 IPS |
|
|
Image Classification (HP)
|
100% |
5858
1.09 KIPS |
|
|
Image Classification (Q)
|
97% |
6379
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
750
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5151
83.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9539
154.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6151
7.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
83014
96.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
86562
101.5 IPS |
|
|
Object Detection (SP)
|
100% |
1287
102.1 IPS |
|
|
Object Detection (HP)
|
100% |
7709
611.5 IPS |
|
|
Object Detection (Q)
|
93% |
8467
675.6 IPS |
|
|
Face Detection (SP)
|
100% |
2256
26.8 IPS |
|
|
Face Detection (HP)
|
100% |
11061
131.4 IPS |
|
|
Face Detection (Q)
|
100% |
13117
155.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4202
32.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
39850
307.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
51076
399.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11014
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
126490
162.6 IPS |
|
|
Style Transfer (Q)
|
96% |
118888
153.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3207
118.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16840
621.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21568
796.4 IPS |
|
|
Text Classification (SP)
|
100% |
1381
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3566
4.76 KIPS |
|
|
Text Classification (Q)
|
93% |
3460
4.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1660
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2282
39.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2272
39.3 IPS |
