iPhone 15
Geekbench AI Score
2682
Single Precision Score
2646
Half Precision Score
2623
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | IAMTESTING |
| Upload Date | August 15 2024 09:11 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
656
121.9 IPS |
|
|
Image Classification (HP)
|
100% |
657
122.2 IPS |
|
|
Image Classification (Q)
|
99% |
1116
208.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2552
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2468
40.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
2495
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11634
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12337
14.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
11050
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1341
106.4 IPS |
|
|
Object Detection (HP)
|
100% |
1331
105.6 IPS |
|
|
Object Detection (Q)
|
92% |
1193
95.2 IPS |
|
|
Face Detection (SP)
|
100% |
5337
63.4 IPS |
|
|
Face Detection (HP)
|
100% |
4152
49.3 IPS |
|
|
Face Detection (Q)
|
100% |
3912
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8248
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8768
67.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
8456
65.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20761
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23215
29.8 IPS |
|
|
Style Transfer (Q)
|
100% |
23014
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3639
134.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3537
130.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3164
117.2 IPS |
|
|
Text Classification (SP)
|
100% |
366
488.9 IPS |
|
|
Text Classification (HP)
|
100% |
367
489.4 IPS |
|
|
Text Classification (Q)
|
93% |
219
294.2 IPS |
|
|
Machine Translation (SP)
|
100% |
606
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
577
9.94 IPS |
|
|
Machine Translation (Q)
|
98% |
798
13.8 IPS |
