iPhone17,2
Geekbench AI Score
4583
Single Precision Score
31865
Half Precision Score
43615
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 02:04 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1995
371.0 IPS |
|
|
Image Classification (HP)
|
100% |
15062
2.80 KIPS |
|
|
Image Classification (Q)
|
97% |
19461
3.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1964
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14650
237.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18208
295.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9283
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
155097
181.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
293223
343.7 IPS |
|
|
Object Detection (SP)
|
100% |
2158
171.2 IPS |
|
|
Object Detection (HP)
|
100% |
16273
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
23298
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
3638
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
40847
485.3 IPS |
|
|
Face Detection (Q)
|
100% |
54794
651.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8066
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95461
735.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
161041
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24717
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
246211
316.5 IPS |
|
|
Style Transfer (Q)
|
96% |
302405
390.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5597
206.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51077
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84743
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4240
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4028
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3752
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9323
160.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11297
195.2 IPS |
