iPhone 12 Pro Max
Geekbench AI Score
2693
Single Precision Score
4534
Half Precision Score
3780
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | WrigleyBeard |
| Upload Date | December 12 2024 10:55 PM |
| Views | 4 |
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% |
1253
233.0 IPS |
|
|
Image Classification (HP)
|
100% |
1928
358.6 IPS |
|
|
Image Classification (Q)
|
96% |
1366
255.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1149
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1788
29.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2205
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5277
6.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
10586
12.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9349
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1305
103.6 IPS |
|
|
Object Detection (HP)
|
97% |
2204
175.5 IPS |
|
|
Object Detection (Q)
|
94% |
1594
127.1 IPS |
|
|
Face Detection (SP)
|
100% |
2564
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
4730
56.2 IPS |
|
|
Face Detection (Q)
|
100% |
2702
32.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4744
36.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9355
72.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6564
51.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12682
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
20966
27.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18335
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2709
100.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3950
145.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2992
110.5 IPS |
|
|
Text Classification (SP)
|
100% |
2127
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3617
4.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3600
4.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
2280
39.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3448
59.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3792
65.5 IPS |
