iPhone 12 Pro Max
Geekbench AI Score
2660
Single Precision Score
11396
Half Precision Score
11908
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | akmacks |
| Upload Date | August 15 2024 08:19 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 12 Pro Max |
| Model ID | iPhone13,4 |
| Motherboard | D54pAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1231
229.0 IPS |
|
|
Image Classification (HP)
|
100% |
4726
879.0 IPS |
|
|
Image Classification (Q)
|
99% |
5512
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1146
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5674
92.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
5690
92.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5211
6.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
63248
73.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
61955
72.7 IPS |
|
|
Object Detection (SP)
|
100% |
1299
103.1 IPS |
|
|
Object Detection (HP)
|
99% |
5836
464.2 IPS |
|
|
Object Detection (Q)
|
91% |
5925
473.4 IPS |
|
|
Face Detection (SP)
|
100% |
2391
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
11669
138.7 IPS |
|
|
Face Detection (Q)
|
100% |
11635
138.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4566
35.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35740
275.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
40495
313.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12641
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
99857
128.4 IPS |
|
|
Style Transfer (Q)
|
100% |
108487
139.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2810
103.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19655
725.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
21269
788.0 IPS |
|
|
Text Classification (SP)
|
100% |
2132
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2350
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2250
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1947
33.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1950
33.7 IPS |
