iPhone 15 Plus
Geekbench AI Score
2674
Single Precision Score
2832
Half Precision Score
2473
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Bustycat |
| Upload Date | August 16 2024 04:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone 15 Plus |
| Model ID | iPhone15,5 |
| Motherboard | D38AP |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1059
197.0 IPS |
|
|
Image Classification (HP)
|
100% |
1209
224.9 IPS |
|
|
Image Classification (Q)
|
99% |
653
121.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2453
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2466
40.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
2542
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11624
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12360
14.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
10986
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1268
100.6 IPS |
|
|
Object Detection (HP)
|
100% |
1252
99.3 IPS |
|
|
Object Detection (Q)
|
92% |
1167
93.2 IPS |
|
|
Face Detection (SP)
|
100% |
3797
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
4198
49.9 IPS |
|
|
Face Detection (Q)
|
100% |
3415
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8215
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8669
66.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
8344
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20852
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23176
29.8 IPS |
|
|
Style Transfer (Q)
|
100% |
23503
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3732
137.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3549
131.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3085
114.3 IPS |
|
|
Text Classification (SP)
|
100% |
367
489.5 IPS |
|
|
Text Classification (HP)
|
100% |
367
490.4 IPS |
|
|
Text Classification (Q)
|
93% |
233
312.5 IPS |
|
|
Machine Translation (SP)
|
100% |
550
9.48 IPS |
|
|
Machine Translation (HP)
|
100% |
657
11.3 IPS |
|
|
Machine Translation (Q)
|
98% |
836
14.4 IPS |
