iPhone 12 Pro Max
Geekbench AI Score
1770
Single Precision Score
2029
Half Precision Score
1684
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | chimpur |
| Upload Date | August 15 2024 05:19 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
367
68.2 IPS |
|
|
Image Classification (HP)
|
100% |
348
64.6 IPS |
|
|
Image Classification (Q)
|
99% |
324
60.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1360
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1507
24.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
1528
24.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6130
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
9212
10.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
8106
9.50 IPS |
|
|
Object Detection (SP)
|
100% |
706
56.0 IPS |
|
|
Object Detection (HP)
|
100% |
659
52.3 IPS |
|
|
Object Detection (Q)
|
91% |
613
49.0 IPS |
|
|
Face Detection (SP)
|
100% |
3314
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
3464
41.2 IPS |
|
|
Face Detection (Q)
|
100% |
2630
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3843
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5463
42.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
992
7.67 IPS |
|
|
Style Transfer (SP)
|
100% |
12808
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13453
17.3 IPS |
|
|
Style Transfer (Q)
|
100% |
13483
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1504
55.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1547
57.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1488
55.1 IPS |
|
|
Text Classification (SP)
|
100% |
2105
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3576
4.77 KIPS |
|
|
Text Classification (Q)
|
93% |
3578
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
271
4.67 IPS |
|
|
Machine Translation (HP)
|
100% |
265
4.57 IPS |
|
|
Machine Translation (Q)
|
98% |
399
6.90 IPS |
