Mac17,2
Geekbench AI Score
13636
Single Precision Score
25577
Half Precision Score
24356
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | LeanderAI |
| Upload Date | November 29 2025 03:29 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
6278
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
11115
2.07 KIPS |
|
|
Image Classification (Q)
|
97% |
9911
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10225
165.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16787
272.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
17285
280.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
39459
46.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
103444
120.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
111696
130.9 IPS |
|
|
Object Detection (SP)
|
100% |
6453
511.8 IPS |
|
|
Object Detection (HP)
|
100% |
11750
932.0 IPS |
|
|
Object Detection (Q)
|
93% |
10069
803.2 IPS |
|
|
Face Detection (SP)
|
100% |
18349
218.0 IPS |
|
|
Face Detection (HP)
|
100% |
34201
406.4 IPS |
|
|
Face Detection (Q)
|
100% |
26502
314.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
28518
219.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
55814
430.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
53187
415.3 IPS |
|
|
Style Transfer (SP)
|
100% |
81710
105.0 IPS |
|
|
Style Transfer (HP)
|
100% |
191571
246.3 IPS |
|
|
Style Transfer (Q)
|
96% |
209271
270.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16536
610.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33265
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30019
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3036
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
5638
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5591
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
6335
109.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7705
132.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7702
133.1 IPS |
