Mac17,5
Geekbench AI Score
4959
Single Precision Score
8405
Half Precision Score
6711
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | akihikoshimura |
| Upload Date | March 27 2026 12:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E243) |
| 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% |
2163
402.2 IPS |
|
|
Image Classification (HP)
|
100% |
3449
641.3 IPS |
|
|
Image Classification (Q)
|
96% |
2344
437.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2077
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2926
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3324
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7716
9.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
17542
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15029
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2433
193.0 IPS |
|
|
Object Detection (HP)
|
97% |
3892
309.8 IPS |
|
|
Object Detection (Q)
|
94% |
2707
215.8 IPS |
|
|
Face Detection (SP)
|
100% |
4268
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
7659
91.0 IPS |
|
|
Face Detection (Q)
|
100% |
4282
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7643
58.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13835
106.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9734
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20959
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38442
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31497
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4874
180.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6854
253.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4967
183.4 IPS |
|
|
Text Classification (SP)
|
100% |
7178
9.58 KIPS |
|
|
Text Classification (HP)
|
99% |
11184
14.9 KIPS |
|
|
Text Classification (Q)
|
92% |
10999
14.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
4464
76.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8182
141.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8154
140.9 IPS |
