iPhone 12 Pro Max
Geekbench AI Score
1767
Single Precision Score
2040
Half Precision Score
1889
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 01:42 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
334
62.1 IPS |
|
|
Image Classification (HP)
|
100% |
347
64.6 IPS |
|
|
Image Classification (Q)
|
97% |
345
64.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1367
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1528
24.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1486
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6065
7.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
9578
11.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
8597
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
668
53.0 IPS |
|
|
Object Detection (HP)
|
100% |
676
53.6 IPS |
|
|
Object Detection (Q)
|
91% |
599
47.8 IPS |
|
|
Face Detection (SP)
|
100% |
3342
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
3410
40.5 IPS |
|
|
Face Detection (Q)
|
100% |
2611
31.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4314
33.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5487
42.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
4711
36.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12552
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13676
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12639
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1548
57.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1474
54.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1442
53.3 IPS |
|
|
Text Classification (SP)
|
100% |
2094
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3649
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3648
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
275
4.73 IPS |
|
|
Machine Translation (HP)
|
100% |
265
4.56 IPS |
|
|
Machine Translation (Q)
|
98% |
268
4.63 IPS |
