iPhone17,5
Geekbench AI Score
4226
Single Precision Score
32921
Half Precision Score
45667
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | justintea |
| Upload Date | March 19 2025 11:25 PM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2031
377.7 IPS |
|
|
Image Classification (HP)
|
100% |
15145
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20323
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1802
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18179
294.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23701
384.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8288
9.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
146733
171.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
292273
342.6 IPS |
|
|
Object Detection (SP)
|
100% |
2237
177.4 IPS |
|
|
Object Detection (HP)
|
100% |
16307
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
23121
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
3443
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
39272
466.6 IPS |
|
|
Face Detection (Q)
|
100% |
56595
672.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7613
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95387
734.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
163006
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
17733
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244769
314.7 IPS |
|
|
Style Transfer (Q)
|
96% |
304720
393.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4844
178.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50540
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82986
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4800
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4682
6.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3523
60.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10205
175.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11098
191.8 IPS |
