iPhone17,2
Geekbench AI Score
4570
Single Precision Score
32972
Half Precision Score
45969
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 03:59 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
2008
373.3 IPS |
|
|
Image Classification (HP)
|
100% |
15308
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
21320
3.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1963
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18317
296.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24099
390.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8934
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
154865
180.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
294241
344.9 IPS |
|
|
Object Detection (SP)
|
100% |
2158
171.2 IPS |
|
|
Object Detection (HP)
|
100% |
16430
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22771
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3654
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
42148
500.8 IPS |
|
|
Face Detection (Q)
|
100% |
58276
692.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7922
61.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95204
733.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
160668
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24312
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
245278
315.3 IPS |
|
|
Style Transfer (Q)
|
96% |
303355
391.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5737
211.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50943
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85784
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3430
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4451
5.94 KIPS |
|
|
Text Classification (Q)
|
93% |
4379
5.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3776
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9540
164.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11474
198.3 IPS |
