iPhone17,5
Geekbench AI Score
4289
Single Precision Score
32612
Half Precision Score
43925
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 04 2025 01:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPhone17,5 |
| Model ID | iPhone17,5 |
| Motherboard | V59AP |
| 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 | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1953
363.1 IPS |
|
|
Image Classification (HP)
|
100% |
15258
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20280
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1813
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18161
294.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23832
386.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8434
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
153713
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
294822
345.5 IPS |
|
|
Object Detection (SP)
|
100% |
2093
166.0 IPS |
|
|
Object Detection (HP)
|
100% |
16262
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22562
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3283
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
39974
475.0 IPS |
|
|
Face Detection (Q)
|
100% |
56190
667.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7433
57.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
96005
739.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
162664
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
22159
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245636
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
303966
392.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5092
188.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49860
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83732
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4206
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
3033
4.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3578
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9940
171.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11789
203.7 IPS |
