iPhone 15
Geekbench AI Score
3402
Single Precision Score
19814
Half Precision Score
22162
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 28 2024 07:20 AM |
| Views | 8 |
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% |
1457
270.9 IPS |
|
|
Image Classification (HP)
|
100% |
10174
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
11979
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1494
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12100
196.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13658
221.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5937
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
91547
106.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
102321
119.9 IPS |
|
|
Object Detection (SP)
|
100% |
1517
120.3 IPS |
|
|
Object Detection (HP)
|
100% |
12823
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14277
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3197
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
31457
373.8 IPS |
|
|
Face Detection (Q)
|
100% |
38693
459.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5725
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
75818
584.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
94576
739.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16999
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
171370
220.3 IPS |
|
|
Style Transfer (Q)
|
96% |
179112
231.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3843
141.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31608
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38852
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
2603
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (Q)
|
93% |
2133
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3407
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2191
37.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2202
38.0 IPS |
