iPhone 12 Pro Max
Geekbench AI Score
2785
Single Precision Score
12576
Half Precision Score
12349
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | krdrever |
| Upload Date | November 01 2024 03:56 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1265
235.3 IPS |
|
|
Image Classification (HP)
|
100% |
3753
698.0 IPS |
|
|
Image Classification (Q)
|
96% |
4250
793.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1169
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8493
137.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8831
143.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5527
6.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
60664
70.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
60579
71.0 IPS |
|
|
Object Detection (SP)
|
100% |
1323
104.9 IPS |
|
|
Object Detection (HP)
|
99% |
5905
469.7 IPS |
|
|
Object Detection (Q)
|
91% |
4577
365.7 IPS |
|
|
Face Detection (SP)
|
100% |
2578
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
14700
174.7 IPS |
|
|
Face Detection (Q)
|
100% |
12004
142.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5007
38.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
37887
291.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
36070
281.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13908
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
99715
128.2 IPS |
|
|
Style Transfer (Q)
|
96% |
99998
129.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2978
110.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19242
710.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19345
714.3 IPS |
|
|
Text Classification (SP)
|
100% |
2126
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (Q)
|
93% |
2302
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2287
39.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3518
60.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4112
71.1 IPS |
