iPhone 14 Pro Max
Geekbench AI Score
3548
Single Precision Score
6066
Half Precision Score
4912
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 25 2024 09:47 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPhone 14 Pro Max |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1427
265.4 IPS |
|
|
Image Classification (HP)
|
100% |
2521
468.9 IPS |
|
|
Image Classification (Q)
|
96% |
1727
322.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1428
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2153
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2683
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7160
8.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
15209
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13018
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.6 IPS |
|
|
Object Detection (HP)
|
97% |
2915
232.0 IPS |
|
|
Object Detection (Q)
|
94% |
2041
162.7 IPS |
|
|
Face Detection (SP)
|
100% |
3112
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
6066
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3485
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6234
48.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12237
94.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8248
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18941
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28419
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23666
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4204
155.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4904
181.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3657
135.0 IPS |
|
|
Text Classification (SP)
|
100% |
2609
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4618
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4557
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3395
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5875
101.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5865
101.4 IPS |
