iPhone 14 Pro Max
Geekbench AI Score
3350
Single Precision Score
5870
Half Precision Score
4767
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 05:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1344
250.0 IPS |
|
|
Image Classification (HP)
|
100% |
2507
466.3 IPS |
|
|
Image Classification (Q)
|
96% |
1715
320.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2623
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6925
8.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
14972
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12935
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1485
117.8 IPS |
|
|
Object Detection (HP)
|
97% |
2812
223.9 IPS |
|
|
Object Detection (Q)
|
94% |
2003
159.6 IPS |
|
|
Face Detection (SP)
|
100% |
2658
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
5459
64.9 IPS |
|
|
Face Detection (Q)
|
100% |
3237
38.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6026
46.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12062
93.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8175
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18374
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
28604
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23450
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4077
150.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5006
184.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3717
137.3 IPS |
|
|
Text Classification (SP)
|
100% |
2639
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4668
6.23 KIPS |
|
|
Text Classification (Q)
|
93% |
4638
6.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3115
53.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4935
85.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4867
84.1 IPS |
