iPhone17,2
Geekbench AI Score
4548
Single Precision Score
33093
Half Precision Score
46046
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | krdrever |
| Upload Date | November 01 2024 03:56 AM |
| Views | 21 |
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% |
2005
373.0 IPS |
|
|
Image Classification (HP)
|
100% |
15158
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
21941
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1955
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18230
295.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24025
389.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9033
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
154316
180.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
293831
344.4 IPS |
|
|
Object Detection (SP)
|
100% |
2152
170.7 IPS |
|
|
Object Detection (HP)
|
100% |
16200
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22698
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3573
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
41800
496.7 IPS |
|
|
Face Detection (Q)
|
100% |
57684
685.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7865
60.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95244
733.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
161647
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24314
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
245667
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
301951
389.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5674
209.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52500
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87846
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4725
6.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4340
5.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3748
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9400
161.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11356
196.2 IPS |
