Mac17,5
Geekbench AI Score
4873
Single Precision Score
8311
Half Precision Score
6595
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | March 31 2026 04:33 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2167
403.0 IPS |
|
|
Image Classification (HP)
|
100% |
3501
651.0 IPS |
|
|
Image Classification (Q)
|
96% |
2348
438.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2075
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2950
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3392
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7722
9.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
16865
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14459
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2386
189.2 IPS |
|
|
Object Detection (HP)
|
97% |
3833
305.2 IPS |
|
|
Object Detection (Q)
|
94% |
2678
213.5 IPS |
|
|
Face Detection (SP)
|
100% |
4162
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
7692
91.4 IPS |
|
|
Face Detection (Q)
|
100% |
4195
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7360
56.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13580
105.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9416
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19926
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37137
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30071
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4728
174.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6977
257.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4992
184.3 IPS |
|
|
Text Classification (SP)
|
99% |
6962
9.29 KIPS |
|
|
Text Classification (HP)
|
100% |
10706
14.3 KIPS |
|
|
Text Classification (Q)
|
92% |
10482
14.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
4537
78.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8132
140.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8124
140.4 IPS |
