iPhone17,5
Geekbench AI Score
4057
Single Precision Score
33142
Half Precision Score
44673
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 18 2025 08:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2037
378.9 IPS |
|
|
Image Classification (HP)
|
100% |
14731
2.74 KIPS |
|
|
Image Classification (Q)
|
97% |
18998
3.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1728
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18117
293.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23507
381.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7350
8.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
132645
154.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
269378
315.7 IPS |
|
|
Object Detection (SP)
|
100% |
2197
174.3 IPS |
|
|
Object Detection (HP)
|
100% |
15886
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
21439
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3259
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
40233
478.1 IPS |
|
|
Face Detection (Q)
|
100% |
52597
625.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7046
54.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
93567
720.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
149546
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
16790
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
241855
310.9 IPS |
|
|
Style Transfer (Q)
|
96% |
294759
380.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4516
166.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51544
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79854
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3687
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6306
8.42 KIPS |
|
|
Text Classification (Q)
|
93% |
6200
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3318
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9608
165.5 IPS |
|
|
Machine Translation (Q)
|
98% |
10694
184.8 IPS |
