iPhone 14 Pro Max
Geekbench AI Score
3525
Single Precision Score
19732
Half Precision Score
21815
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 10:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1428
265.5 IPS |
|
|
Image Classification (HP)
|
100% |
10326
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
11789
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1432
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11848
192.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13392
217.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6855
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
95647
111.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
102588
120.2 IPS |
|
|
Object Detection (SP)
|
100% |
1576
125.0 IPS |
|
|
Object Detection (HP)
|
100% |
12873
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14745
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3027
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
29799
354.1 IPS |
|
|
Face Detection (Q)
|
100% |
38532
457.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6217
47.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
74761
576.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
95073
743.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18725
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
168336
216.4 IPS |
|
|
Style Transfer (Q)
|
96% |
167364
216.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4177
154.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32499
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37666
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
2617
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2053
2.74 KIPS |
|
|
Text Classification (Q)
|
93% |
1879
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3485
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2375
40.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2356
40.7 IPS |
