iPhone 14 Pro Max
Geekbench AI Score
3153
Single Precision Score
3312
Half Precision Score
1221
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Rohan_C |
| Upload Date | September 16 2024 06:26 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone 14 Pro Max |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| 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 | 5.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1515
281.7 IPS |
|
|
Image Classification (HP)
|
100% |
1598
297.2 IPS |
|
|
Image Classification (Q)
|
97% |
1339
249.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2245
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2491
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2461
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11468
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
12258
14.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
11042
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1904
151.0 IPS |
|
|
Object Detection (HP)
|
100% |
1887
149.7 IPS |
|
|
Object Detection (Q)
|
92% |
1500
119.8 IPS |
|
|
Face Detection (SP)
|
100% |
5210
61.9 IPS |
|
|
Face Detection (HP)
|
100% |
5645
67.1 IPS |
|
|
Face Detection (Q)
|
100% |
3840
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8403
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8863
68.3 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
53.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20864
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23106
29.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21708
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4603
170.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4785
176.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3799
140.3 IPS |
|
|
Text Classification (SP)
|
100% |
367
489.3 IPS |
|
|
Text Classification (HP)
|
100% |
368
491.1 IPS |
|
|
Text Classification (Q)
|
93% |
288
386.7 IPS |
|
|
Machine Translation (SP)
|
100% |
850
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1480
25.6 IPS |
