iPhone 14 Pro Max
Geekbench AI Score
3554
Single Precision Score
19876
Half Precision Score
22344
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 15 2024 10:56 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1433
266.6 IPS |
|
|
Image Classification (HP)
|
100% |
10234
1.90 KIPS |
|
|
Image Classification (Q)
|
97% |
12149
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
11676
189.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
13240
214.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6724
7.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
97726
114.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
101201
118.6 IPS |
|
|
Object Detection (SP)
|
100% |
1587
125.9 IPS |
|
|
Object Detection (HP)
|
100% |
12802
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14700
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3104
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
29771
353.7 IPS |
|
|
Face Detection (Q)
|
100% |
38601
458.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6215
47.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
74968
577.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
95290
745.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18805
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
168692
216.9 IPS |
|
|
Style Transfer (Q)
|
96% |
168176
217.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4202
155.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31774
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37459
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
2619
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
2259
3.02 KIPS |
|
|
Text Classification (Q)
|
93% |
2336
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3488
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2382
41.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2395
41.4 IPS |
