Macbook Neo Mac17,5
Geekbench AI Score
3733
Single Precision Score
30942
Half Precision Score
43444
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | BrantB |
| Upload Date | March 13 2026 02:23 AM |
| Views | 106 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.2 (Build 25D2140) |
| 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% |
1746
324.7 IPS |
|
|
Image Classification (HP)
|
100% |
14204
2.64 KIPS |
|
|
Image Classification (Q)
|
97% |
20156
3.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1690
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17571
284.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
22902
371.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6903
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
122826
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
239106
280.2 IPS |
|
|
Object Detection (SP)
|
100% |
1951
154.7 IPS |
|
|
Object Detection (HP)
|
100% |
15190
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
20059
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
3033
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
39970
474.9 IPS |
|
|
Face Detection (Q)
|
100% |
57352
681.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6554
50.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
81176
625.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
147996
1.16 KIPS |
|
|
Style Transfer (SP)
|
100% |
12202
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
222968
286.6 IPS |
|
|
Style Transfer (Q)
|
96% |
292488
377.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4180
154.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47109
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77358
2.86 KIPS |
|
|
Text Classification (SP)
|
100% |
3703
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
5670
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5467
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3529
60.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8941
154.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10304
178.1 IPS |
