MacBook Neo Mac17,5
Geekbench AI Score
4973
Single Precision Score
35439
Half Precision Score
48378
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | techythomas |
| Upload Date | March 30 2026 12:40 AM |
| Views | 14 |
| Notes | Mac17,5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| Model | Mac17,5 |
| Model ID | Mac17,5 |
| Motherboard | Mac17,5 |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | Apple A18 Pro |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2152
400.3 IPS |
|
|
Image Classification (HP)
|
100% |
14214
2.64 KIPS |
|
|
Image Classification (Q)
|
97% |
19589
3.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2067
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18161
294.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23918
387.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7621
8.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
147066
171.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
292114
342.4 IPS |
|
|
Object Detection (SP)
|
100% |
2481
196.8 IPS |
|
|
Object Detection (HP)
|
100% |
15761
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
21475
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
4369
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
42327
502.9 IPS |
|
|
Face Detection (Q)
|
100% |
65107
773.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7659
59.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
93657
721.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
157660
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
20749
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
246199
316.5 IPS |
|
|
Style Transfer (Q)
|
96% |
291847
376.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4934
182.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53116
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76186
2.81 KIPS |
|
|
Text Classification (SP)
|
100% |
7105
9.48 KIPS |
|
|
Text Classification (HP)
|
100% |
10969
14.6 KIPS |
|
|
Text Classification (Q)
|
92% |
10706
14.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
4523
77.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9185
158.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9780
169.0 IPS |
