iPhone17,2
Geekbench AI Score
4276
Single Precision Score
32150
Half Precision Score
45360
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Mimizuku |
| Upload Date | October 10 2024 11:14 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1924
357.9 IPS |
|
|
Image Classification (HP)
|
100% |
15431
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
21742
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1866
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14541
235.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
18141
294.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8407
9.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
149283
174.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
290668
340.7 IPS |
|
|
Object Detection (SP)
|
100% |
2064
163.8 IPS |
|
|
Object Detection (HP)
|
100% |
16266
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22825
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3458
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
41992
499.0 IPS |
|
|
Face Detection (Q)
|
100% |
58146
690.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6822
52.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94137
725.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
160922
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
22349
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244769
314.7 IPS |
|
|
Style Transfer (Q)
|
96% |
304595
393.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5241
193.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50945
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85275
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3465
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4759
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5203
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3434
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9231
159.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11144
192.6 IPS |
