iPhone 14 Pro Max
Geekbench AI Score
3545
Single Precision Score
22909
Half Precision Score
25479
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Rohan_C |
| Upload Date | December 12 2024 06:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1450
269.6 IPS |
|
|
Image Classification (HP)
|
100% |
10656
1.98 KIPS |
|
|
Image Classification (Q)
|
97% |
12746
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1465
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15272
247.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
17715
287.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7016
8.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
98247
114.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
101677
119.2 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
100% |
12922
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14713
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3037
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
29776
353.8 IPS |
|
|
Face Detection (Q)
|
100% |
38473
457.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6140
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
74850
576.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
96634
755.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18917
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
165542
212.8 IPS |
|
|
Style Transfer (Q)
|
96% |
167238
215.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4222
155.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31472
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35932
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
2632
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2237
2.99 KIPS |
|
|
Text Classification (Q)
|
93% |
1999
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3410
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7421
127.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7644
132.1 IPS |
