iPhone17,2
Geekbench AI Score
4480
Single Precision Score
32092
Half Precision Score
43929
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Graeme Stewart |
| Upload Date | September 23 2024 04:21 PM |
| Views | 8 |
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% |
1983
368.7 IPS |
|
|
Image Classification (HP)
|
100% |
15232
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20072
3.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1922
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14597
236.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
18236
295.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8754
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
153668
179.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
291547
341.7 IPS |
|
|
Object Detection (SP)
|
100% |
2122
168.3 IPS |
|
|
Object Detection (HP)
|
100% |
16181
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22160
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
3494
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
40714
483.8 IPS |
|
|
Face Detection (Q)
|
100% |
55373
658.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7756
59.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95446
735.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
162755
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23829
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
245468
315.6 IPS |
|
|
Style Transfer (Q)
|
96% |
302195
390.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5671
209.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50996
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85047
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3397
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4603
6.14 KIPS |
|
|
Text Classification (Q)
|
93% |
4364
5.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3704
63.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9361
161.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11197
193.5 IPS |
