[iOS 18.2 beta 3] iPhone 16 Pro Max iPhone17,2
Geekbench AI Score
4626
Single Precision Score
32540
Half Precision Score
42818
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | nuonuo |
| Upload Date | November 13 2024 03:50 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | ARM |
| 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% |
2019
375.5 IPS |
|
|
Image Classification (HP)
|
100% |
15100
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
20080
3.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1961
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18200
295.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24028
389.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9247
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
154516
180.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
294846
345.6 IPS |
|
|
Object Detection (SP)
|
100% |
2194
174.1 IPS |
|
|
Object Detection (HP)
|
100% |
16131
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22503
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3640
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
41169
489.2 IPS |
|
|
Face Detection (Q)
|
100% |
57878
687.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8070
62.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95105
732.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
160567
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24786
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
246061
316.3 IPS |
|
|
Style Transfer (Q)
|
96% |
303006
391.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5866
216.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50196
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84015
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3459
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4233
5.65 KIPS |
|
|
Text Classification (Q)
|
93% |
2417
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3784
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9493
163.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11318
195.6 IPS |
