iPhone17,5
Geekbench AI Score
4343
Single Precision Score
32679
Half Precision Score
44307
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 04 2025 01:28 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% |
1963
365.1 IPS |
|
|
Image Classification (HP)
|
100% |
15149
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
19299
3.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1808
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18143
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23772
385.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8540
9.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
154829
180.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
295275
346.1 IPS |
|
|
Object Detection (SP)
|
100% |
2091
165.9 IPS |
|
|
Object Detection (HP)
|
100% |
16229
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22629
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3297
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
40355
479.5 IPS |
|
|
Face Detection (Q)
|
100% |
56365
669.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7679
59.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95674
737.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
161056
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
22976
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245343
315.4 IPS |
|
|
Style Transfer (Q)
|
96% |
303472
391.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5293
195.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51019
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84134
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4296
5.73 KIPS |
|
|
Text Classification (Q)
|
93% |
3558
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3578
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9688
166.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11535
199.3 IPS |
