iPhone 15
Geekbench AI Score
3468
Single Precision Score
19635
Half Precision Score
22156
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | yugui923 |
| Upload Date | October 01 2024 02:54 AM |
| Views | 4 |
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% |
1459
271.3 IPS |
|
|
Image Classification (HP)
|
100% |
9834
1.83 KIPS |
|
|
Image Classification (Q)
|
97% |
12865
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1549
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11666
189.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13563
219.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6292
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
97541
113.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
102748
120.4 IPS |
|
|
Object Detection (SP)
|
100% |
1537
121.9 IPS |
|
|
Object Detection (HP)
|
100% |
12798
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14762
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3151
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
31507
374.4 IPS |
|
|
Face Detection (Q)
|
100% |
39268
466.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5965
46.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
75281
580.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
95425
746.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17538
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
173287
222.8 IPS |
|
|
Style Transfer (Q)
|
96% |
172877
223.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3948
145.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32467
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36953
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
2620
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
1993
2.66 KIPS |
|
|
Text Classification (Q)
|
93% |
2027
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3385
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2237
38.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2220
38.4 IPS |
