iPhone 14 Pro Max
Geekbench AI Score
3041
Single Precision Score
5581
Half Precision Score
4454
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 07:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1423
264.6 IPS |
|
|
Image Classification (HP)
|
100% |
2557
475.6 IPS |
|
|
Image Classification (Q)
|
96% |
1735
324.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1432
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2679
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6927
8.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
14274
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12033
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1056
83.8 IPS |
|
|
Object Detection (HP)
|
97% |
1985
158.0 IPS |
|
|
Object Detection (Q)
|
94% |
1586
126.5 IPS |
|
|
Face Detection (SP)
|
100% |
2158
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
5719
68.0 IPS |
|
|
Face Detection (Q)
|
100% |
2496
29.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5693
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11843
91.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7959
62.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16533
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26687
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22270
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3704
136.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4776
176.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3514
129.8 IPS |
|
|
Text Classification (SP)
|
100% |
1850
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4547
6.07 KIPS |
|
|
Text Classification (Q)
|
93% |
4764
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3270
56.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4802
83.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4686
81.0 IPS |
