iPhone17,1
Geekbench AI Score
4607
Single Precision Score
32144
Half Precision Score
44184
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2011
374.0 IPS |
|
|
Image Classification (HP)
|
100% |
15231
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
19952
3.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1975
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14763
239.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18445
299.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9204
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
153780
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
293081
343.5 IPS |
|
|
Object Detection (SP)
|
100% |
2153
170.7 IPS |
|
|
Object Detection (HP)
|
100% |
16260
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22923
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3669
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
41185
489.4 IPS |
|
|
Face Detection (Q)
|
100% |
54907
652.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7975
61.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95341
734.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
160390
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24208
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245554
315.7 IPS |
|
|
Style Transfer (Q)
|
96% |
301272
388.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5847
215.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52827
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86010
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4377
5.84 KIPS |
|
|
Text Classification (Q)
|
93% |
4381
5.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3863
66.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9396
161.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11473
198.3 IPS |
