[iOS 18.2 beta 4] iPhone 16 Pro Max iPhone17,2
Geekbench AI Score
4612
Single Precision Score
32389
Half Precision Score
45492
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | nuonuo |
| Upload Date | November 24 2024 10:07 AM |
| Views | 14 |
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% |
2022
376.1 IPS |
|
|
Image Classification (HP)
|
100% |
14873
2.77 KIPS |
|
|
Image Classification (Q)
|
97% |
20104
3.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1948
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18125
293.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24077
390.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9380
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
154629
180.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
293936
344.5 IPS |
|
|
Object Detection (SP)
|
100% |
2204
174.8 IPS |
|
|
Object Detection (HP)
|
100% |
16068
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
22299
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3688
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
41142
488.9 IPS |
|
|
Face Detection (Q)
|
100% |
56421
670.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8094
62.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94888
731.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
163660
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24937
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
244957
314.9 IPS |
|
|
Style Transfer (Q)
|
96% |
303471
391.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5649
208.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50125
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82699
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3387
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4304
5.74 KIPS |
|
|
Text Classification (Q)
|
93% |
4607
6.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3762
64.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9196
158.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11208
193.7 IPS |
