iPhone17,2
Geekbench AI Score
4576
Single Precision Score
33064
Half Precision Score
46268
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 04:06 PM |
| Views | 1 |
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% |
1975
367.2 IPS |
|
|
Image Classification (HP)
|
100% |
15274
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20482
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1927
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18200
295.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24041
389.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9188
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
154893
180.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
294310
344.9 IPS |
|
|
Object Detection (SP)
|
100% |
2148
170.4 IPS |
|
|
Object Detection (HP)
|
100% |
16368
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22780
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3643
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
41790
496.6 IPS |
|
|
Face Detection (Q)
|
100% |
58355
693.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8016
61.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95528
736.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
160925
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24351
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
245674
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
301801
389.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5846
215.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51120
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87518
3.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4702
6.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4792
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3769
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9400
161.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11458
198.0 IPS |
