iPhone 12 Pro Max
Geekbench AI Score
1758
Single Precision Score
1997
Half Precision Score
1919
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 04:01 AM |
| Views | 1 |
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% |
346
64.3 IPS |
|
|
Image Classification (HP)
|
100% |
353
65.6 IPS |
|
|
Image Classification (Q)
|
97% |
293
54.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1381
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1512
24.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1508
24.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6122
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
8933
10.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
8008
9.39 IPS |
|
|
Object Detection (SP)
|
100% |
673
53.4 IPS |
|
|
Object Detection (HP)
|
100% |
645
51.2 IPS |
|
|
Object Detection (Q)
|
91% |
605
48.3 IPS |
|
|
Face Detection (SP)
|
100% |
3320
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
3244
38.6 IPS |
|
|
Face Detection (Q)
|
100% |
2606
31.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3350
25.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5300
40.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
4539
35.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12839
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13485
17.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12654
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1675
61.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1486
54.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1463
54.0 IPS |
|
|
Text Classification (SP)
|
100% |
2133
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3665
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
3637
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
281
4.85 IPS |
|
|
Machine Translation (HP)
|
100% |
260
4.49 IPS |
|
|
Machine Translation (Q)
|
98% |
399
6.90 IPS |
