iPhone 14 Pro Max
Geekbench AI Score
3383
Single Precision Score
12821
Half Precision Score
13267
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | RolandFromHolland85 |
| Upload Date | August 15 2024 05:24 PM |
| Views | 10 |
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% |
1398
259.9 IPS |
|
|
Image Classification (HP)
|
100% |
5520
1.03 KIPS |
|
|
Image Classification (Q)
|
99% |
5887
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1432
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8126
131.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
8383
135.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6670
7.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
82035
95.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
82400
96.6 IPS |
|
|
Object Detection (SP)
|
100% |
1492
118.3 IPS |
|
|
Object Detection (HP)
|
100% |
7536
597.8 IPS |
|
|
Object Detection (Q)
|
93% |
8216
655.6 IPS |
|
|
Face Detection (SP)
|
100% |
2748
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
11615
138.0 IPS |
|
|
Face Detection (Q)
|
100% |
12043
143.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5802
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
38256
294.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
40311
311.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16782
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
113806
146.3 IPS |
|
|
Style Transfer (Q)
|
100% |
115407
148.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4179
154.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17690
653.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
20779
769.8 IPS |
|
|
Text Classification (SP)
|
100% |
2611
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2026
2.70 KIPS |
|
|
Text Classification (Q)
|
93% |
1822
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3384
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2388
41.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2385
41.2 IPS |
