MacN17,5 Mac17,5
Geekbench AI Score
4812
Single Precision Score
33443
Half Precision Score
45786
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Bierre |
| Upload Date | March 11 2026 02:46 PM |
| Views | 8 |
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% |
2134
396.8 IPS |
|
|
Image Classification (HP)
|
100% |
13873
2.58 KIPS |
|
|
Image Classification (Q)
|
97% |
19715
3.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2035
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18175
294.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23989
388.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9110
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
150456
175.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
293129
343.6 IPS |
|
|
Object Detection (SP)
|
100% |
2374
188.3 IPS |
|
|
Object Detection (HP)
|
100% |
16038
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
21539
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
3983
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
40937
486.4 IPS |
|
|
Face Detection (Q)
|
100% |
57923
688.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8145
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
93841
723.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
155725
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
22333
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244614
314.5 IPS |
|
|
Style Transfer (Q)
|
96% |
293710
379.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5769
213.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51482
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78730
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
3747
5.00 KIPS |
|
|
Text Classification (HP)
|
99% |
6343
8.47 KIPS |
|
|
Text Classification (Q)
|
93% |
6254
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4534
78.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9375
161.5 IPS |
|
|
Machine Translation (Q)
|
98% |
10395
179.6 IPS |
