iPhone 14 Pro Max
Geekbench AI Score
3529
Single Precision Score
20091
Half Precision Score
22270
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2024 11:44 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% |
1414
262.9 IPS |
|
|
Image Classification (HP)
|
100% |
10540
1.96 KIPS |
|
|
Image Classification (Q)
|
97% |
12240
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1437
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11869
192.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
13642
221.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6815
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
94515
110.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
103029
120.8 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
100% |
12882
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14580
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3077
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
30624
363.9 IPS |
|
|
Face Detection (Q)
|
100% |
37956
451.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6321
48.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
75621
582.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
95966
750.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18750
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
166679
214.3 IPS |
|
|
Style Transfer (Q)
|
96% |
168227
217.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4155
153.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32384
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36392
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
2614
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2356
3.14 KIPS |
|
|
Text Classification (Q)
|
93% |
2254
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3467
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2389
41.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2381
41.1 IPS |
