Mac17,2
Geekbench AI Score
5324
Single Precision Score
8662
Half Precision Score
6898
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 10 2025 02:57 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2286
425.1 IPS |
|
|
Image Classification (HP)
|
100% |
3702
688.5 IPS |
|
|
Image Classification (Q)
|
96% |
2497
466.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2428
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3565
57.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3884
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11225
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20830
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17874
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2686
213.1 IPS |
|
|
Object Detection (HP)
|
97% |
4263
339.4 IPS |
|
|
Object Detection (Q)
|
94% |
2991
238.4 IPS |
|
|
Face Detection (SP)
|
100% |
4850
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
8546
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
4817
57.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9147
70.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15252
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10619
82.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27001
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
41632
53.5 IPS |
|
|
Style Transfer (Q)
|
96% |
33953
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5991
221.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7151
264.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5161
190.6 IPS |
|
|
Text Classification (SP)
|
100% |
3068
4.10 KIPS |
|
|
Text Classification (HP)
|
99% |
5575
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5596
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4967
85.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9387
162.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9392
162.3 IPS |
