iPhone 14 Pro Max
Geekbench AI Score
3557
Single Precision Score
17635
Half Precision Score
19561
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ntpudpp |
| Upload Date | August 15 2024 05:09 PM |
| Views | 21 |
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% |
1419
263.9 IPS |
|
|
Image Classification (HP)
|
100% |
10757
2.00 KIPS |
|
|
Image Classification (Q)
|
99% |
11599
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1508
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10087
163.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
10472
169.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7121
8.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
94481
110.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
98386
115.4 IPS |
|
|
Object Detection (SP)
|
100% |
1579
125.3 IPS |
|
|
Object Detection (HP)
|
100% |
11965
949.1 IPS |
|
|
Object Detection (Q)
|
91% |
14627
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3047
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
18491
219.7 IPS |
|
|
Face Detection (Q)
|
100% |
28371
337.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6254
48.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
59719
460.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
66809
516.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18950
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
129951
167.1 IPS |
|
|
Style Transfer (Q)
|
100% |
130164
167.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4208
155.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32211
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
36407
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
2608
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
2105
2.81 KIPS |
|
|
Text Classification (Q)
|
93% |
2139
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3406
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2438
42.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2443
42.2 IPS |
