iPhone 14 Pro Max
Geekbench AI Score
3540
Single Precision Score
20030
Half Precision Score
22272
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | TgRobert |
| Upload Date | November 14 2024 05:24 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1444
268.6 IPS |
|
|
Image Classification (HP)
|
100% |
10619
1.97 KIPS |
|
|
Image Classification (Q)
|
97% |
12386
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1435
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11818
191.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
13737
222.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7003
8.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
96999
113.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
101144
118.5 IPS |
|
|
Object Detection (SP)
|
100% |
1578
125.2 IPS |
|
|
Object Detection (HP)
|
100% |
12916
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14629
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3075
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
30460
361.9 IPS |
|
|
Face Detection (Q)
|
100% |
38699
459.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6255
48.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
76031
585.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
96494
754.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18871
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
165764
213.1 IPS |
|
|
Style Transfer (Q)
|
96% |
166743
215.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4203
155.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31742
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36281
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
2610
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
2253
3.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2237
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3391
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2409
41.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2361
40.8 IPS |
