iPhone17,2
Geekbench AI Score
4361
Single Precision Score
32846
Half Precision Score
45807
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | December 04 2024 12:03 AM |
| Views | 1 |
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% |
1954
363.3 IPS |
|
|
Image Classification (HP)
|
100% |
15225
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20107
3.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1832
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18129
293.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23757
385.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8570
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
153437
179.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
291709
341.9 IPS |
|
|
Object Detection (SP)
|
100% |
2082
165.2 IPS |
|
|
Object Detection (HP)
|
100% |
16631
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
22355
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3306
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
41614
494.5 IPS |
|
|
Face Detection (Q)
|
100% |
57271
680.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7428
57.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95073
732.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
160222
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23673
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245368
315.4 IPS |
|
|
Style Transfer (Q)
|
96% |
303223
391.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5370
198.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50957
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82710
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3438
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4610
6.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5082
6.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3635
62.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9102
156.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11167
193.0 IPS |
