iPhone 12 Pro Max
Geekbench AI Score
1749
Single Precision Score
2029
Half Precision Score
1878
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 07:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
373
69.3 IPS |
|
|
Image Classification (HP)
|
100% |
344
63.9 IPS |
|
|
Image Classification (Q)
|
97% |
319
59.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1360
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1490
24.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1468
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6146
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
9072
10.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
8164
9.57 IPS |
|
|
Object Detection (SP)
|
100% |
673
53.3 IPS |
|
|
Object Detection (HP)
|
100% |
648
51.4 IPS |
|
|
Object Detection (Q)
|
91% |
557
44.5 IPS |
|
|
Face Detection (SP)
|
100% |
3294
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
3509
41.7 IPS |
|
|
Face Detection (Q)
|
100% |
2604
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3381
26.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5460
42.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
4653
36.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12474
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13505
17.4 IPS |
|
|
Style Transfer (Q)
|
96% |
12712
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1650
60.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1585
58.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1431
52.8 IPS |
|
|
Text Classification (SP)
|
100% |
2091
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
3571
4.77 KIPS |
|
|
Text Classification (Q)
|
93% |
3561
4.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
267
4.59 IPS |
|
|
Machine Translation (HP)
|
100% |
268
4.61 IPS |
|
|
Machine Translation (Q)
|
98% |
327
5.65 IPS |
