iPhone 12 Pro Max
Geekbench AI Score
1743
Single Precision Score
1988
Half Precision Score
1877
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | laidbackdev |
| Upload Date | February 28 2025 03:45 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
354
65.9 IPS |
|
|
Image Classification (HP)
|
100% |
341
63.5 IPS |
|
|
Image Classification (Q)
|
97% |
327
61.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1368
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1500
24.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1683
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6149
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
8906
10.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
7992
9.37 IPS |
|
|
Object Detection (SP)
|
100% |
675
53.5 IPS |
|
|
Object Detection (HP)
|
100% |
646
51.2 IPS |
|
|
Object Detection (Q)
|
91% |
561
44.8 IPS |
|
|
Face Detection (SP)
|
100% |
3334
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
3244
38.5 IPS |
|
|
Face Detection (Q)
|
100% |
2604
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3393
26.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5434
41.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
4630
36.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12525
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13475
17.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12886
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1605
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1494
55.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1546
57.1 IPS |
|
|
Text Classification (SP)
|
100% |
2086
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3551
4.74 KIPS |
|
|
Text Classification (Q)
|
93% |
3550
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
272
4.68 IPS |
|
|
Machine Translation (HP)
|
100% |
261
4.50 IPS |
|
|
Machine Translation (Q)
|
98% |
259
4.48 IPS |
