iPhone 15
Geekbench AI Score
3511
Single Precision Score
19684
Half Precision Score
22574
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1436
267.0 IPS |
|
|
Image Classification (HP)
|
100% |
10622
1.98 KIPS |
|
|
Image Classification (Q)
|
97% |
12576
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1488
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11634
188.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
13526
219.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6553
7.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
95767
111.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
101993
119.5 IPS |
|
|
Object Detection (SP)
|
100% |
1575
124.9 IPS |
|
|
Object Detection (HP)
|
100% |
12996
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14710
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3316
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
30969
368.0 IPS |
|
|
Face Detection (Q)
|
100% |
39373
467.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6070
46.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
74423
573.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
95916
749.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17937
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
170590
219.3 IPS |
|
|
Style Transfer (Q)
|
96% |
173261
223.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4010
148.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31578
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38506
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
2617
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2011
2.68 KIPS |
|
|
Text Classification (Q)
|
93% |
2383
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3410
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2274
39.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2243
38.8 IPS |
