iPhone17,2
Geekbench AI Score
4542
Single Precision Score
32970
Half Precision Score
46088
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 06:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2003
372.5 IPS |
|
|
Image Classification (HP)
|
100% |
15292
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20718
3.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1952
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18199
295.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24054
389.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9034
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
153980
179.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
293360
343.8 IPS |
|
|
Object Detection (SP)
|
100% |
2134
169.2 IPS |
|
|
Object Detection (HP)
|
100% |
16277
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22439
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3584
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
41750
496.1 IPS |
|
|
Face Detection (Q)
|
100% |
58533
695.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7897
60.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95325
734.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
160746
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24143
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245702
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
303209
391.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5678
209.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50650
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86167
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3445
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4701
6.27 KIPS |
|
|
Text Classification (Q)
|
93% |
4729
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3711
63.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9347
161.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11339
196.0 IPS |
