iPhone 12 Pro Max
Geekbench AI Score
2675
Single Precision Score
4479
Half Precision Score
3742
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 01:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1261
234.5 IPS |
|
|
Image Classification (HP)
|
100% |
1910
355.3 IPS |
|
|
Image Classification (Q)
|
96% |
1366
255.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1140
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1736
28.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2142
34.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5117
5.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
10359
12.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
9195
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1286
102.0 IPS |
|
|
Object Detection (HP)
|
97% |
2163
172.2 IPS |
|
|
Object Detection (Q)
|
94% |
1572
125.3 IPS |
|
|
Face Detection (SP)
|
100% |
2530
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
4640
55.1 IPS |
|
|
Face Detection (Q)
|
100% |
2650
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4650
35.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9438
73.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6499
50.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12874
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21173
27.2 IPS |
|
|
Style Transfer (Q)
|
96% |
18266
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2749
101.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4002
147.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2994
110.5 IPS |
|
|
Text Classification (SP)
|
100% |
2106
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3573
4.77 KIPS |
|
|
Text Classification (Q)
|
93% |
3573
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2263
39.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3302
57.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3786
65.4 IPS |
