iPhone 14 Pro Max
Geekbench AI Score
3843
Single Precision Score
4274
Half Precision Score
3096
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 05 2024 11:42 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1551
288.4 IPS |
|
|
Image Classification (HP)
|
100% |
1544
287.1 IPS |
|
|
Image Classification (Q)
|
99% |
1639
305.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2307
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2503
40.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
2538
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11664
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12327
14.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
11057
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1890
149.9 IPS |
|
|
Object Detection (HP)
|
100% |
1874
148.7 IPS |
|
|
Object Detection (Q)
|
91% |
1437
114.9 IPS |
|
|
Face Detection (SP)
|
100% |
5280
62.7 IPS |
|
|
Face Detection (HP)
|
100% |
5962
70.8 IPS |
|
|
Face Detection (Q)
|
100% |
4115
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8357
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8824
68.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
1053
8.14 IPS |
|
|
Style Transfer (SP)
|
100% |
20997
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23204
29.8 IPS |
|
|
Style Transfer (Q)
|
100% |
23223
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4648
171.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4914
181.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3446
127.7 IPS |
|
|
Text Classification (SP)
|
100% |
2609
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4698
6.27 KIPS |
|
|
Text Classification (Q)
|
93% |
4573
6.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
794
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
809
13.9 IPS |
|
|
Machine Translation (Q)
|
98% |
774
13.4 IPS |
