iPhone17,2
Geekbench AI Score
4504
Single Precision Score
33040
Half Precision Score
46129
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | amadeus_ha |
| Upload Date | November 08 2024 11:17 PM |
| Views | 16 |
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% |
2009
373.6 IPS |
|
|
Image Classification (HP)
|
100% |
15824
2.94 KIPS |
|
|
Image Classification (Q)
|
97% |
21560
4.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1985
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18358
297.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24259
393.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8736
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
154216
179.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
293583
344.1 IPS |
|
|
Object Detection (SP)
|
100% |
2115
167.8 IPS |
|
|
Object Detection (HP)
|
100% |
16360
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22731
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3570
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
42332
503.0 IPS |
|
|
Face Detection (Q)
|
100% |
59258
704.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7700
59.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
97407
750.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
162433
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23667
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245118
315.1 IPS |
|
|
Style Transfer (Q)
|
96% |
303536
391.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5612
207.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50648
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86266
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4361
5.82 KIPS |
|
|
Text Classification (Q)
|
93% |
4373
5.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3730
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9475
163.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11341
196.0 IPS |
