iPhone 16 Pro Max
Geekbench AI Score
4447
Single Precision Score
32733
Half Precision Score
45425
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 31 2024 06:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2029
377.3 IPS |
|
|
Image Classification (HP)
|
100% |
15224
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20351
3.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1925
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18231
295.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24134
391.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8449
9.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
152126
177.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
291840
342.1 IPS |
|
|
Object Detection (SP)
|
100% |
2115
167.8 IPS |
|
|
Object Detection (HP)
|
100% |
16024
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
22220
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3588
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
41227
489.9 IPS |
|
|
Face Detection (Q)
|
100% |
58406
694.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7490
57.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94818
730.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
159524
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23230
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244620
314.5 IPS |
|
|
Style Transfer (Q)
|
96% |
301400
388.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5479
202.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50641
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82873
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3352
4.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4609
6.15 KIPS |
|
|
Text Classification (Q)
|
93% |
4496
6.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3783
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9354
161.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11227
194.0 IPS |
