iPhone 12 Pro Max
Geekbench AI Score
1807
Single Precision Score
2036
Half Precision Score
1832
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 07:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
412
76.5 IPS |
|
|
Image Classification (HP)
|
100% |
330
61.4 IPS |
|
|
Image Classification (Q)
|
97% |
311
58.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1639
26.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1487
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6139
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
9262
10.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
8269
9.69 IPS |
|
|
Object Detection (SP)
|
100% |
715
56.7 IPS |
|
|
Object Detection (HP)
|
100% |
686
54.4 IPS |
|
|
Object Detection (Q)
|
91% |
598
47.8 IPS |
|
|
Face Detection (SP)
|
100% |
3336
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
3430
40.8 IPS |
|
|
Face Detection (Q)
|
100% |
2550
30.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4125
31.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5445
42.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
4701
36.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12693
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13501
17.4 IPS |
|
|
Style Transfer (Q)
|
96% |
12761
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1519
56.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1442
53.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1335
49.3 IPS |
|
|
Text Classification (SP)
|
100% |
2089
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
3576
4.77 KIPS |
|
|
Text Classification (Q)
|
93% |
3552
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
271
4.66 IPS |
|
|
Machine Translation (HP)
|
100% |
275
4.73 IPS |
|
|
Machine Translation (Q)
|
98% |
257
4.44 IPS |
