iPhone17,2
Geekbench AI Score
4243
Single Precision Score
33081
Half Precision Score
45530
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Maxdboy100 |
| Upload Date | November 14 2024 06:26 PM |
| Views | 12 |
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% |
1959
364.3 IPS |
|
|
Image Classification (HP)
|
100% |
15387
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
21080
3.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1922
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18369
297.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24337
394.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8455
9.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
152124
177.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
294812
345.5 IPS |
|
|
Object Detection (SP)
|
100% |
2098
166.4 IPS |
|
|
Object Detection (HP)
|
100% |
16291
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22354
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3466
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
41616
494.5 IPS |
|
|
Face Detection (Q)
|
100% |
59567
707.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7375
56.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
96665
744.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
164147
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
22327
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245076
315.0 IPS |
|
|
Style Transfer (Q)
|
96% |
308163
397.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5290
195.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51831
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84215
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4636
6.19 KIPS |
|
|
Text Classification (Q)
|
93% |
4364
5.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2737
47.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9460
162.9 IPS |
|
|
Machine Translation (Q)
|
98% |
10226
176.7 IPS |
