iPhone 14 Pro Max
Geekbench AI Score
3833
Single Precision Score
4208
Half Precision Score
3084
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 24 2024 10:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1570
292.0 IPS |
|
|
Image Classification (HP)
|
100% |
1396
259.7 IPS |
|
|
Image Classification (Q)
|
99% |
1593
297.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2263
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2519
40.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
2538
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11674
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12342
14.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
11056
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1898
150.6 IPS |
|
|
Object Detection (HP)
|
100% |
1831
145.3 IPS |
|
|
Object Detection (Q)
|
91% |
1429
114.2 IPS |
|
|
Face Detection (SP)
|
100% |
5270
62.6 IPS |
|
|
Face Detection (HP)
|
100% |
6132
72.9 IPS |
|
|
Face Detection (Q)
|
100% |
4063
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8388
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9368
72.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
1068
8.26 IPS |
|
|
Style Transfer (SP)
|
100% |
20912
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23272
29.9 IPS |
|
|
Style Transfer (Q)
|
100% |
23195
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4527
167.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4378
161.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3456
128.1 IPS |
|
|
Text Classification (SP)
|
100% |
2603
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4590
6.13 KIPS |
|
|
Text Classification (Q)
|
93% |
4560
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
800
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
816
14.1 IPS |
|
|
Machine Translation (Q)
|
98% |
769
13.3 IPS |
