Mac17,2
Geekbench AI Score
5255
Single Precision Score
8634
Half Precision Score
6823
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | EvarinthoSec |
| Upload Date | November 08 2025 03:51 PM |
| Views | 8 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2240
416.5 IPS |
|
|
Image Classification (HP)
|
100% |
3677
683.8 IPS |
|
|
Image Classification (Q)
|
96% |
2485
464.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2433
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3526
57.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3789
61.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11113
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
20740
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17784
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2638
209.3 IPS |
|
|
Object Detection (HP)
|
97% |
4174
332.3 IPS |
|
|
Object Detection (Q)
|
94% |
2911
232.0 IPS |
|
|
Face Detection (SP)
|
100% |
4652
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
8299
98.6 IPS |
|
|
Face Detection (Q)
|
100% |
4722
56.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9063
69.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
15062
116.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10462
81.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26847
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41130
52.9 IPS |
|
|
Style Transfer (Q)
|
96% |
33776
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6006
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7500
276.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5195
191.8 IPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
99% |
5671
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5606
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5013
86.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9383
162.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9238
159.6 IPS |
