iPhone 14 Pro Max
Geekbench AI Score
3539
Single Precision Score
20127
Half Precision Score
23320
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 24 2024 11:53 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1432
266.2 IPS |
|
|
Image Classification (HP)
|
100% |
10395
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
12472
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13506
218.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
17771
288.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6766
7.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
95434
111.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
102188
119.8 IPS |
|
|
Object Detection (SP)
|
100% |
1591
126.2 IPS |
|
|
Object Detection (HP)
|
100% |
12701
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14407
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3126
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
30447
361.8 IPS |
|
|
Face Detection (Q)
|
100% |
38313
455.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6215
47.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
75102
578.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
94577
739.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18803
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
163422
210.1 IPS |
|
|
Style Transfer (Q)
|
96% |
169471
218.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4214
155.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31076
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36133
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
2622
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (Q)
|
93% |
2771
3.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3433
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2397
41.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2371
41.0 IPS |
