iPhone 14 Pro Max
Geekbench AI Score
3824
Single Precision Score
4109
Half Precision Score
3655
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 17 2024 10:57 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% |
1525
283.5 IPS |
|
|
Image Classification (HP)
|
100% |
1124
209.1 IPS |
|
|
Image Classification (Q)
|
97% |
1309
244.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2259
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2493
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2489
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11585
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
12368
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11297
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1922
152.4 IPS |
|
|
Object Detection (HP)
|
100% |
1866
148.0 IPS |
|
|
Object Detection (Q)
|
91% |
1446
115.5 IPS |
|
|
Face Detection (SP)
|
100% |
5318
63.2 IPS |
|
|
Face Detection (HP)
|
100% |
6141
73.0 IPS |
|
|
Face Detection (Q)
|
100% |
4038
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8387
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8881
68.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6930
54.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20866
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23232
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21936
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4565
168.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4654
171.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3641
134.5 IPS |
|
|
Text Classification (SP)
|
100% |
2604
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4588
6.12 KIPS |
|
|
Text Classification (Q)
|
93% |
4554
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
786
13.5 IPS |
|
|
Machine Translation (Q)
|
98% |
786
13.6 IPS |
