iPhone17,2
Geekbench AI Score
4251
Single Precision Score
33492
Half Precision Score
46545
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 04:29 PM |
| Views | 1 |
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% |
1987
369.5 IPS |
|
|
Image Classification (HP)
|
100% |
15309
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
21372
3.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18293
296.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24670
399.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9043
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
150935
176.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
257732
302.1 IPS |
|
|
Object Detection (SP)
|
100% |
1834
145.5 IPS |
|
|
Object Detection (HP)
|
100% |
16790
1.33 KIPS |
|
|
Object Detection (Q)
|
91% |
23708
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
3213
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
41836
497.1 IPS |
|
|
Face Detection (Q)
|
100% |
58610
696.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6823
52.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94729
729.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
163093
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
20837
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244469
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
305002
393.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5206
192.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51822
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86823
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3493
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
5095
6.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5099
6.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3626
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9782
168.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11478
198.4 IPS |
