iPhone17,2
Geekbench AI Score
4474
Single Precision Score
33161
Half Precision Score
46138
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ciocan |
| Upload Date | October 12 2024 01:32 PM |
| Views | 7 |
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% |
1990
370.0 IPS |
|
|
Image Classification (HP)
|
100% |
15158
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20028
3.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1928
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18233
295.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24133
391.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8573
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
153785
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
292564
342.9 IPS |
|
|
Object Detection (SP)
|
100% |
2071
164.3 IPS |
|
|
Object Detection (HP)
|
100% |
16227
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
23207
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
3521
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
42361
503.3 IPS |
|
|
Face Detection (Q)
|
100% |
59068
701.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7693
59.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95027
732.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
162009
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23650
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245247
315.3 IPS |
|
|
Style Transfer (Q)
|
96% |
306131
395.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5614
207.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50425
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84559
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3507
4.68 KIPS |
|
|
Text Classification (HP)
|
100% |
4723
6.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4681
6.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3744
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9919
170.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11487
198.5 IPS |
