iPhone17,2
Geekbench AI Score
4519
Single Precision Score
31928
Half Precision Score
43336
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 02:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
2001
372.2 IPS |
|
|
Image Classification (HP)
|
100% |
15246
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
19975
3.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1952
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14686
238.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
18323
297.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8800
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
154122
179.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
293255
343.7 IPS |
|
|
Object Detection (SP)
|
100% |
2124
168.5 IPS |
|
|
Object Detection (HP)
|
100% |
16236
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22544
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3599
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
40834
485.2 IPS |
|
|
Face Detection (Q)
|
100% |
54493
647.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7989
61.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95207
733.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
161148
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24281
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
246683
317.1 IPS |
|
|
Style Transfer (Q)
|
96% |
301496
389.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5402
199.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50500
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85647
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3420
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4276
5.71 KIPS |
|
|
Text Classification (Q)
|
93% |
3763
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3773
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9490
163.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11315
195.5 IPS |
