iPhone 12 Pro Max
Geekbench AI Score
2379
Single Precision Score
3986
Half Precision Score
3204
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 04:03 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% |
1235
229.6 IPS |
|
|
Image Classification (HP)
|
100% |
1864
346.7 IPS |
|
|
Image Classification (Q)
|
96% |
1347
251.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1133
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1720
27.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2081
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4569
5.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
7868
9.18 IPS |
|
|
Pose Estimation (Q)
|
95% |
7163
8.40 IPS |
|
|
Object Detection (SP)
|
100% |
845
67.0 IPS |
|
|
Object Detection (HP)
|
97% |
1890
150.4 IPS |
|
|
Object Detection (Q)
|
94% |
1377
109.7 IPS |
|
|
Face Detection (SP)
|
100% |
2442
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
4299
51.1 IPS |
|
|
Face Detection (Q)
|
100% |
2390
28.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4415
34.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
7837
60.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
5544
43.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10026
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18668
24.0 IPS |
|
|
Style Transfer (Q)
|
96% |
9499
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2371
87.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3212
118.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2740
101.2 IPS |
|
|
Text Classification (SP)
|
100% |
2067
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
3593
4.80 KIPS |
|
|
Text Classification (Q)
|
93% |
3542
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2036
35.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2931
50.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3380
58.4 IPS |
