iPhone 14 Pro Max
Geekbench AI Score
3914
Single Precision Score
4274
Half Precision Score
3740
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 01:23 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1678
312.0 IPS |
|
|
Image Classification (HP)
|
100% |
1553
288.8 IPS |
|
|
Image Classification (Q)
|
97% |
1481
276.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2304
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2514
40.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2465
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11734
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12333
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11421
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1961
155.5 IPS |
|
|
Object Detection (HP)
|
100% |
1936
153.6 IPS |
|
|
Object Detection (Q)
|
91% |
1573
125.7 IPS |
|
|
Face Detection (SP)
|
100% |
5309
63.1 IPS |
|
|
Face Detection (HP)
|
100% |
5969
70.9 IPS |
|
|
Face Detection (Q)
|
100% |
4067
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8470
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8673
66.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7159
56.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21230
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23765
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22006
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4886
180.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4870
179.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3768
139.1 IPS |
|
|
Text Classification (SP)
|
100% |
2623
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4597
6.14 KIPS |
|
|
Text Classification (Q)
|
93% |
4570
6.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
776
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
793
13.7 IPS |
|
|
Machine Translation (Q)
|
98% |
741
12.8 IPS |
