iPhone 14 Pro Max
Geekbench AI Score
3467
Single Precision Score
22941
Half Precision Score
26170
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 21 2024 12:44 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1408
261.9 IPS |
|
|
Image Classification (HP)
|
100% |
10237
1.90 KIPS |
|
|
Image Classification (Q)
|
97% |
12420
2.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1421
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14526
235.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
17965
291.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6447
7.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
98381
114.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
101658
119.1 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
100% |
12606
999.9 IPS |
|
|
Object Detection (Q)
|
91% |
14264
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3091
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
30450
361.8 IPS |
|
|
Face Detection (Q)
|
100% |
40580
482.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5987
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
75110
578.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
96743
756.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18332
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
165511
212.8 IPS |
|
|
Style Transfer (Q)
|
96% |
168885
217.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4132
152.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31597
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35599
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2609
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
2489
3.32 KIPS |
|
|
Text Classification (Q)
|
93% |
2411
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3402
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7355
126.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8186
141.5 IPS |
