iPhone17,2
Geekbench AI Score
4060
Single Precision Score
32307
Half Precision Score
45292
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 06:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1920
357.1 IPS |
|
|
Image Classification (HP)
|
100% |
15616
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
20705
3.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1836
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18202
295.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24061
390.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7607
8.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
140345
163.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
288740
338.4 IPS |
|
|
Object Detection (SP)
|
100% |
1835
145.5 IPS |
|
|
Object Detection (HP)
|
100% |
16315
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22407
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
2999
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
41760
496.2 IPS |
|
|
Face Detection (Q)
|
100% |
57648
685.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6899
53.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
93414
719.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
160148
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20780
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
243452
313.0 IPS |
|
|
Style Transfer (Q)
|
96% |
305342
394.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4863
179.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46995
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81592
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5117
6.83 KIPS |
|
|
Text Classification (Q)
|
93% |
4881
6.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3465
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8334
143.5 IPS |
|
|
Machine Translation (Q)
|
98% |
10040
173.5 IPS |
