Mac17,2
Geekbench AI Score
5310
Single Precision Score
41802
Half Precision Score
58016
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | LeanderAI |
| Upload Date | November 29 2025 03:31 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2259
420.2 IPS |
|
|
Image Classification (HP)
|
100% |
18503
3.44 KIPS |
|
|
Image Classification (Q)
|
97% |
24456
4.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2433
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23931
387.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
33074
536.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11017
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
177040
206.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
335388
393.1 IPS |
|
|
Object Detection (SP)
|
100% |
2665
211.4 IPS |
|
|
Object Detection (HP)
|
100% |
18824
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
27456
2.19 KIPS |
|
|
Face Detection (SP)
|
100% |
4788
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
47573
565.3 IPS |
|
|
Face Detection (Q)
|
100% |
67114
797.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9088
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
112074
863.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
181227
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
27423
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
272034
349.7 IPS |
|
|
Style Transfer (Q)
|
96% |
367765
474.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6010
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
65994
2.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101354
3.74 KIPS |
|
|
Text Classification (SP)
|
100% |
3061
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
6482
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6908
9.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
5034
86.7 IPS |
|
|
Machine Translation (HP)
|
100% |
17795
306.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18522
320.1 IPS |
