iPhone 14 Pro Max
Geekbench AI Score
3137
Single Precision Score
3380
Half Precision Score
1203
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | RDNewman |
| Upload Date | October 16 2024 01:13 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1339
248.9 IPS |
|
|
Image Classification (HP)
|
100% |
1434
266.6 IPS |
|
|
Image Classification (Q)
|
97% |
1325
247.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2244
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2468
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2441
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11404
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
12089
14.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
11147
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1862
147.7 IPS |
|
|
Object Detection (HP)
|
100% |
1869
148.3 IPS |
|
|
Object Detection (Q)
|
92% |
1464
116.8 IPS |
|
|
Face Detection (SP)
|
100% |
4840
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
6057
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
3794
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8220
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8998
69.3 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
53.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20241
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22760
29.3 IPS |
|
|
Style Transfer (Q)
|
96% |
21513
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4364
161.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4679
172.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3676
135.8 IPS |
|
|
Text Classification (SP)
|
100% |
495
660.5 IPS |
|
|
Text Classification (HP)
|
100% |
484
645.5 IPS |
|
|
Text Classification (Q)
|
93% |
281
377.7 IPS |
|
|
Machine Translation (SP)
|
100% |
833
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
867
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1435
24.8 IPS |
