Mac17,2
Geekbench AI Score
5354
Single Precision Score
8679
Half Precision Score
6922
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | galois1811 |
| Upload Date | December 14 2025 01:53 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A8353) |
| Model | Mac17,2 |
| Model ID | Mac17,2 |
| Motherboard | Mac17,2 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2288
425.5 IPS |
|
|
Image Classification (HP)
|
100% |
3705
689.0 IPS |
|
|
Image Classification (Q)
|
96% |
2528
472.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2434
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3572
57.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3890
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11359
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20849
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17863
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2682
212.7 IPS |
|
|
Object Detection (HP)
|
97% |
4188
333.4 IPS |
|
|
Object Detection (Q)
|
94% |
2960
236.0 IPS |
|
|
Face Detection (SP)
|
100% |
4836
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
8576
101.9 IPS |
|
|
Face Detection (Q)
|
100% |
4783
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9138
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15229
117.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10650
83.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27396
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41318
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33816
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5996
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7232
267.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5172
191.0 IPS |
|
|
Text Classification (SP)
|
100% |
3081
4.11 KIPS |
|
|
Text Classification (HP)
|
99% |
5609
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5680
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
5110
88.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9595
165.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9601
165.9 IPS |
