iPhone 14 Pro Max
Geekbench AI Score
3564
Single Precision Score
19888
Half Precision Score
22374
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | nuonuo |
| Upload Date | September 26 2024 09:17 PM |
| Views | 3 |
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% |
1436
267.0 IPS |
|
|
Image Classification (HP)
|
100% |
10587
1.97 KIPS |
|
|
Image Classification (Q)
|
97% |
12516
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1490
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11518
186.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
13544
219.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7156
8.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
94837
110.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
101506
119.0 IPS |
|
|
Object Detection (SP)
|
100% |
1579
125.2 IPS |
|
|
Object Detection (HP)
|
100% |
12915
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14752
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3068
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
30296
360.0 IPS |
|
|
Face Detection (Q)
|
100% |
37975
451.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6248
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
74667
575.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
95428
746.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18920
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
166602
214.2 IPS |
|
|
Style Transfer (Q)
|
96% |
171468
221.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4223
155.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31988
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37117
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
2607
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2230
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3431
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2384
41.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2408
41.6 IPS |
