iPhone 12 Pro Max
Geekbench AI Score
2750
Single Precision Score
4580
Half Precision Score
3808
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 03:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1233
229.2 IPS |
|
|
Image Classification (HP)
|
100% |
1901
353.5 IPS |
|
|
Image Classification (Q)
|
96% |
1359
253.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1120
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1765
28.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2172
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5438
6.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
11035
12.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9912
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1318
104.5 IPS |
|
|
Object Detection (HP)
|
97% |
2175
173.2 IPS |
|
|
Object Detection (Q)
|
94% |
1573
125.4 IPS |
|
|
Face Detection (SP)
|
100% |
2545
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
4720
56.1 IPS |
|
|
Face Detection (Q)
|
100% |
2760
32.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4981
38.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9688
74.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6658
52.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14147
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22897
29.4 IPS |
|
|
Style Transfer (Q)
|
96% |
19314
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2980
110.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3972
146.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3011
111.2 IPS |
|
|
Text Classification (SP)
|
100% |
2062
2.75 KIPS |
|
|
Text Classification (HP)
|
100% |
3548
4.74 KIPS |
|
|
Text Classification (Q)
|
93% |
3459
4.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2268
39.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3418
59.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3772
65.2 IPS |
