iPhone17,1
Geekbench AI Score
4430
Single Precision Score
32928
Half Precision Score
43928
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Swissnightlover |
| Upload Date | October 30 2024 07:11 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2035
378.4 IPS |
|
|
Image Classification (HP)
|
100% |
15174
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
19751
3.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1941
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18219
295.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24141
391.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8489
9.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
152824
178.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
290860
340.9 IPS |
|
|
Object Detection (SP)
|
100% |
2117
167.9 IPS |
|
|
Object Detection (HP)
|
100% |
16488
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22307
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3544
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
42068
499.9 IPS |
|
|
Face Detection (Q)
|
100% |
58401
693.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7538
58.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95021
732.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
160245
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
22983
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
244448
314.2 IPS |
|
|
Style Transfer (Q)
|
96% |
300951
388.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5309
196.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51245
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82230
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3359
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4518
6.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3283
4.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3750
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9509
163.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11377
196.6 IPS |
