Mac mini (2024)
Geekbench AI Score
14607
Single Precision Score
16316
Half Precision Score
14608
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | rbuj |
| Upload Date | April 15 2025 10:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.45 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7478
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
7990
1.49 KIPS |
|
|
Image Classification (Q)
|
96% |
7203
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12627
204.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13205
214.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12508
202.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
46547
54.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
48703
56.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
47436
55.6 IPS |
|
|
Object Detection (SP)
|
100% |
6959
552.0 IPS |
|
|
Object Detection (HP)
|
100% |
7682
609.4 IPS |
|
|
Object Detection (Q)
|
92% |
6945
554.4 IPS |
|
|
Face Detection (SP)
|
100% |
24687
293.3 IPS |
|
|
Face Detection (HP)
|
100% |
26522
315.1 IPS |
|
|
Face Detection (Q)
|
100% |
22332
265.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
32878
253.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35262
271.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
31317
244.9 IPS |
|
|
Style Transfer (SP)
|
100% |
107197
137.8 IPS |
|
|
Style Transfer (HP)
|
100% |
115402
148.4 IPS |
|
|
Style Transfer (Q)
|
96% |
112478
145.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17982
664.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19676
726.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16959
626.2 IPS |
|
|
Text Classification (SP)
|
100% |
2880
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5256
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5223
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3209
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3035
52.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2141
37.0 IPS |
