iPhone 14 Pro Max
Geekbench AI Score
3253
Single Precision Score
4884
Half Precision Score
4222
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | RDNewman |
| Upload Date | October 16 2024 01:06 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1458
271.2 IPS |
|
|
Image Classification (HP)
|
100% |
1904
354.0 IPS |
|
|
Image Classification (Q)
|
96% |
1466
273.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1240
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1222
19.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1838
29.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6487
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
14644
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12624
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
97% |
2267
180.5 IPS |
|
|
Object Detection (Q)
|
94% |
1737
138.4 IPS |
|
|
Face Detection (SP)
|
100% |
2787
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
4524
53.8 IPS |
|
|
Face Detection (Q)
|
100% |
2918
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5574
42.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
8698
67.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
6562
51.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17877
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26936
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22540
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3860
142.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4837
178.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3677
135.8 IPS |
|
|
Text Classification (SP)
|
100% |
2567
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
4359
5.82 KIPS |
|
|
Text Classification (Q)
|
93% |
4324
5.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2602
44.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4475
77.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4446
76.8 IPS |
