iPhone 15
Geekbench AI Score
3572
Single Precision Score
22616
Half Precision Score
25352
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Paddie37 |
| Upload Date | October 12 2024 10:25 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1418
263.7 IPS |
|
|
Image Classification (HP)
|
100% |
10160
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
11971
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1484
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15012
243.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18320
297.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6894
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
98955
115.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
102211
119.8 IPS |
|
|
Object Detection (SP)
|
100% |
1607
127.5 IPS |
|
|
Object Detection (HP)
|
100% |
12281
974.1 IPS |
|
|
Object Detection (Q)
|
91% |
14258
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3370
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
31098
369.5 IPS |
|
|
Face Detection (Q)
|
100% |
39387
468.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6224
47.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
74047
570.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
93820
733.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18732
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
173673
223.3 IPS |
|
|
Style Transfer (Q)
|
96% |
171828
221.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4192
154.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32443
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36439
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
2609
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
2581
3.45 KIPS |
|
|
Text Classification (Q)
|
93% |
2497
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3383
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5641
97.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5942
102.7 IPS |
