iPhone17,2
Geekbench AI Score
4439
Single Precision Score
32790
Half Precision Score
45654
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 23 2024 01:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1947
362.0 IPS |
|
|
Image Classification (HP)
|
100% |
15689
2.92 KIPS |
|
|
Image Classification (Q)
|
97% |
21111
3.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1927
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18320
297.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24264
393.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8405
9.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
152972
178.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
293460
344.0 IPS |
|
|
Object Detection (SP)
|
100% |
2135
169.4 IPS |
|
|
Object Detection (HP)
|
100% |
16338
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22369
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3534
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
41171
489.2 IPS |
|
|
Face Detection (Q)
|
100% |
56788
674.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7746
59.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95384
734.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
160670
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23593
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
244891
314.8 IPS |
|
|
Style Transfer (Q)
|
96% |
307058
396.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5265
194.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50785
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84187
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4288
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4389
5.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3790
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9552
164.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11302
195.3 IPS |
