iPhone 14 Pro Max
Geekbench AI Score
3123
Single Precision Score
3299
Half Precision Score
3064
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Rohan_C |
| Upload Date | August 15 2024 07:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1585
294.7 IPS |
|
|
Image Classification (HP)
|
100% |
1568
291.6 IPS |
|
|
Image Classification (Q)
|
99% |
1610
300.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2221
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2468
40.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
2459
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11280
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
11910
13.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
11052
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1837
145.7 IPS |
|
|
Object Detection (HP)
|
100% |
1830
145.2 IPS |
|
|
Object Detection (Q)
|
92% |
1474
117.6 IPS |
|
|
Face Detection (SP)
|
100% |
5273
62.7 IPS |
|
|
Face Detection (HP)
|
100% |
6035
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3814
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8281
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8864
68.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
8925
69.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20223
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22684
29.2 IPS |
|
|
Style Transfer (Q)
|
100% |
23024
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4383
161.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4755
175.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3770
139.7 IPS |
|
|
Text Classification (SP)
|
100% |
368
490.8 IPS |
|
|
Text Classification (HP)
|
100% |
367
489.7 IPS |
|
|
Text Classification (Q)
|
93% |
265
355.7 IPS |
|
|
Machine Translation (SP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
855
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1447
25.0 IPS |
