iPhone 14 Pro Max
Geekbench AI Score
3531
Single Precision Score
21826
Half Precision Score
26074
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 08:44 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1433
266.6 IPS |
|
|
Image Classification (HP)
|
100% |
9699
1.80 KIPS |
|
|
Image Classification (Q)
|
97% |
12887
2.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1424
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13631
221.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18208
295.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6974
8.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
98659
115.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
101639
119.1 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.5 IPS |
|
|
Object Detection (HP)
|
100% |
12968
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14546
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3028
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
27651
328.6 IPS |
|
|
Face Detection (Q)
|
100% |
38220
454.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6156
47.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
76223
587.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
95208
744.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18884
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
167628
215.5 IPS |
|
|
Style Transfer (Q)
|
96% |
167375
216.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4201
155.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30600
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36904
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
2626
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1890
2.52 KIPS |
|
|
Text Classification (Q)
|
93% |
2437
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3449
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7100
122.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7646
132.1 IPS |
