Macbook Neo Mac17,5
Geekbench AI Score
6802
Single Precision Score
7961
Half Precision Score
7488
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | BrantB |
| Upload Date | March 13 2026 02:18 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3260
606.2 IPS |
|
|
Image Classification (HP)
|
100% |
3655
679.7 IPS |
|
|
Image Classification (Q)
|
96% |
3448
643.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3979
64.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4427
71.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4363
70.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13801
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
15265
17.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
15209
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
3259
258.5 IPS |
|
|
Object Detection (HP)
|
100% |
3705
293.9 IPS |
|
|
Object Detection (Q)
|
91% |
3585
286.5 IPS |
|
|
Face Detection (SP)
|
100% |
8515
101.2 IPS |
|
|
Face Detection (HP)
|
100% |
11627
138.2 IPS |
|
|
Face Detection (Q)
|
100% |
10718
127.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12492
96.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13977
107.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
13280
103.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31043
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35830
46.1 IPS |
|
|
Style Transfer (Q)
|
96% |
35237
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7076
261.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7363
271.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6603
243.8 IPS |
|
|
Text Classification (SP)
|
100% |
3496
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6177
8.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6201
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4454
76.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4223
72.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3293
56.9 IPS |
