iPhone 14 Pro Max
Geekbench AI Score
3904
Single Precision Score
4295
Half Precision Score
3710
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 15 2024 10:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1679
312.2 IPS |
|
|
Image Classification (HP)
|
100% |
1551
288.4 IPS |
|
|
Image Classification (Q)
|
97% |
1415
264.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2259
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2563
41.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2487
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11720
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12349
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11357
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1962
155.6 IPS |
|
|
Object Detection (HP)
|
100% |
1903
151.0 IPS |
|
|
Object Detection (Q)
|
91% |
1550
123.8 IPS |
|
|
Face Detection (SP)
|
100% |
5273
62.7 IPS |
|
|
Face Detection (HP)
|
100% |
6136
72.9 IPS |
|
|
Face Detection (Q)
|
100% |
4059
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8478
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8822
68.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7199
56.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21142
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23757
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21964
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4830
178.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4792
176.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3750
138.5 IPS |
|
|
Text Classification (SP)
|
100% |
2651
3.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4555
6.08 KIPS |
|
|
Text Classification (Q)
|
93% |
4516
6.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
781
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
816
14.0 IPS |
|
|
Machine Translation (Q)
|
98% |
734
12.7 IPS |
