iPhone17,2
Geekbench AI Score
4447
Single Precision Score
32944
Half Precision Score
46127
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 22 2024 12:08 PM |
| 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% |
1973
366.8 IPS |
|
|
Image Classification (HP)
|
100% |
15162
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20229
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1901
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18324
297.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23859
386.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8250
9.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
151711
177.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
293239
343.7 IPS |
|
|
Object Detection (SP)
|
100% |
2106
167.1 IPS |
|
|
Object Detection (HP)
|
100% |
16224
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22905
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3581
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
41637
494.7 IPS |
|
|
Face Detection (Q)
|
100% |
57659
685.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7669
59.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95169
733.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
160256
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23540
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
244574
314.4 IPS |
|
|
Style Transfer (Q)
|
96% |
303103
391.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5592
206.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50743
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83795
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4640
6.19 KIPS |
|
|
Text Classification (Q)
|
93% |
4973
6.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3763
64.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9651
166.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11526
199.2 IPS |
