Macbook Neo Mac17,5
Geekbench AI Score
4987
Single Precision Score
34813
Half Precision Score
47910
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Bredbandsbandit |
| Upload Date | April 03 2026 12:13 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.5 (Build 25F5042g) |
| 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% |
2149
399.7 IPS |
|
|
Image Classification (HP)
|
100% |
13072
2.43 KIPS |
|
|
Image Classification (Q)
|
97% |
17647
3.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2074
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18187
294.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24333
394.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8035
9.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
149858
174.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
291021
341.1 IPS |
|
|
Object Detection (SP)
|
100% |
2471
196.0 IPS |
|
|
Object Detection (HP)
|
100% |
15523
1.23 KIPS |
|
|
Object Detection (Q)
|
89% |
21502
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
4403
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
42015
499.2 IPS |
|
|
Face Detection (Q)
|
100% |
65419
777.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7831
60.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
93559
720.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
151658
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
19967
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
246535
316.9 IPS |
|
|
Style Transfer (Q)
|
96% |
292743
377.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4953
182.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50543
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77980
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
6840
9.13 KIPS |
|
|
Text Classification (HP)
|
99% |
10252
13.7 KIPS |
|
|
Text Classification (Q)
|
92% |
10028
13.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
4619
79.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9415
162.2 IPS |
|
|
Machine Translation (Q)
|
98% |
10442
180.5 IPS |
