iPhone 12 Pro Max
Geekbench AI Score
2690
Single Precision Score
4581
Half Precision Score
3793
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 08:41 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% |
1268
235.8 IPS |
|
|
Image Classification (HP)
|
100% |
1907
354.7 IPS |
|
|
Image Classification (Q)
|
96% |
1360
253.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1144
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1779
28.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2192
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4713
5.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
10569
12.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
9108
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1324
105.0 IPS |
|
|
Object Detection (HP)
|
97% |
2204
175.5 IPS |
|
|
Object Detection (Q)
|
94% |
1585
126.3 IPS |
|
|
Face Detection (SP)
|
100% |
2550
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
4701
55.9 IPS |
|
|
Face Detection (Q)
|
100% |
2747
32.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4557
35.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9647
74.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6650
52.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12520
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23257
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
19386
25.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3149
116.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4015
148.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3032
112.0 IPS |
|
|
Text Classification (SP)
|
100% |
2109
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3640
4.86 KIPS |
|
|
Text Classification (Q)
|
93% |
3546
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2276
39.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3344
57.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3766
65.1 IPS |
