iPhone 14 Pro Max
Geekbench AI Score
3540
Single Precision Score
22442
Half Precision Score
26073
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 11:12 PM |
| 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% |
1412
262.7 IPS |
|
|
Image Classification (HP)
|
100% |
10303
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
12714
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1488
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13670
221.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
17503
283.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6874
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
96529
112.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
101369
118.8 IPS |
|
|
Object Detection (SP)
|
100% |
1589
126.1 IPS |
|
|
Object Detection (HP)
|
100% |
12866
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14594
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3037
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
31014
368.5 IPS |
|
|
Face Detection (Q)
|
100% |
39010
463.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6095
47.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
74519
574.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
96641
755.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18818
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
164962
212.1 IPS |
|
|
Style Transfer (Q)
|
96% |
166905
215.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4194
154.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32328
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37115
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
2626
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
2147
2.87 KIPS |
|
|
Text Classification (Q)
|
93% |
2414
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3520
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7002
120.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7825
135.2 IPS |
