iPhone 14 Pro Max
Geekbench AI Score
3544
Single Precision Score
20250
Half Precision Score
22680
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 09 2024 11:27 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% |
1432
266.3 IPS |
|
|
Image Classification (HP)
|
100% |
10742
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
12634
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1458
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
11800
191.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
13409
217.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6903
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
96680
112.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
102763
120.4 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.9 IPS |
|
|
Object Detection (HP)
|
100% |
12980
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14940
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3104
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
30126
358.0 IPS |
|
|
Face Detection (Q)
|
100% |
38918
462.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6222
47.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
74715
575.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
97572
762.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18690
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
165748
213.1 IPS |
|
|
Style Transfer (Q)
|
96% |
166221
214.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4179
154.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31852
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37442
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
2646
3.53 KIPS |
|
|
Text Classification (HP)
|
100% |
2482
3.31 KIPS |
|
|
Text Classification (Q)
|
93% |
2483
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3457
59.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2472
42.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2360
40.8 IPS |
