iPhone 16 Pro Max iPhone17,2
Geekbench AI Score
4444
Single Precision Score
32745
Half Precision Score
44881
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ESPD |
| Upload Date | November 05 2024 03:35 AM |
| Views | 11 |
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% |
1991
370.3 IPS |
|
|
Image Classification (HP)
|
100% |
15195
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20671
3.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1903
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18148
294.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24008
389.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8584
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
150019
175.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
292295
342.6 IPS |
|
|
Object Detection (SP)
|
100% |
2111
167.5 IPS |
|
|
Object Detection (HP)
|
100% |
16109
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22267
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3407
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
41843
497.2 IPS |
|
|
Face Detection (Q)
|
100% |
57512
683.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7631
58.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
94891
731.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
162296
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23454
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245226
315.2 IPS |
|
|
Style Transfer (Q)
|
96% |
304490
392.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5608
207.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49744
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83987
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3435
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4837
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
3863
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3726
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9079
156.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11134
192.4 IPS |
