iPhone 16 Pro Max
Geekbench AI Score
4442
Single Precision Score
33077
Half Precision Score
46164
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | lensmich |
| Upload Date | January 19 2025 02:54 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1995
371.1 IPS |
|
|
Image Classification (HP)
|
100% |
15413
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
19769
3.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1916
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18330
297.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24023
389.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8416
9.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
149600
174.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
292934
343.3 IPS |
|
|
Object Detection (SP)
|
100% |
2120
168.1 IPS |
|
|
Object Detection (HP)
|
100% |
16221
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22487
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3583
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
41197
489.5 IPS |
|
|
Face Detection (Q)
|
100% |
58310
692.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7610
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95242
733.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
160337
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23251
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245660
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
301945
389.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5387
198.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49728
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84472
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3407
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5001
6.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5156
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3775
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9541
164.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11429
197.5 IPS |
