iPhone 14 Pro Max
Geekbench AI Score
3533
Single Precision Score
22699
Half Precision Score
25908
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | RDNewman |
| Upload Date | March 30 2025 01:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1424
264.9 IPS |
|
|
Image Classification (HP)
|
100% |
9701
1.80 KIPS |
|
|
Image Classification (Q)
|
97% |
11933
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1431
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14256
231.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
18325
297.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7083
8.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
97277
113.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
102559
120.2 IPS |
|
|
Object Detection (SP)
|
100% |
1573
124.7 IPS |
|
|
Object Detection (HP)
|
100% |
12886
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14880
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3004
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
30413
361.4 IPS |
|
|
Face Detection (Q)
|
100% |
39374
467.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6153
47.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
74631
575.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
95209
744.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19045
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
174953
224.9 IPS |
|
|
Style Transfer (Q)
|
96% |
169080
218.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4249
156.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32759
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36825
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
2623
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (Q)
|
93% |
2181
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3409
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6992
120.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8021
138.6 IPS |
