iPhone 16 Pro Max iPhone17,2
Geekbench AI Score
4397
Single Precision Score
33419
Half Precision Score
46389
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ESPD |
| Upload Date | October 08 2024 04:35 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1997
371.3 IPS |
|
|
Image Classification (HP)
|
100% |
15361
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
21010
3.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1907
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18192
294.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24065
390.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8499
9.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
151516
176.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
292971
343.4 IPS |
|
|
Object Detection (SP)
|
100% |
2100
166.6 IPS |
|
|
Object Detection (HP)
|
100% |
16208
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22753
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3408
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
41716
495.7 IPS |
|
|
Face Detection (Q)
|
100% |
58332
693.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7468
57.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
96083
740.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
165071
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
22680
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245455
315.5 IPS |
|
|
Style Transfer (Q)
|
96% |
302447
390.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5389
199.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51421
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83641
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3437
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5235
6.99 KIPS |
|
|
Text Classification (Q)
|
93% |
4843
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3720
64.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9563
164.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11609
200.6 IPS |
