Mac mini (2024)
Geekbench AI Score
5432
Single Precision Score
38067
Half Precision Score
51365
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | daveporter |
| Upload Date | July 18 2025 08:19 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2068
384.6 IPS |
|
|
Image Classification (HP)
|
100% |
18797
3.50 KIPS |
|
|
Image Classification (Q)
|
97% |
23713
4.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23700
384.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
33202
538.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17288
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123422
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232493
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2494
197.8 IPS |
|
|
Object Detection (HP)
|
100% |
21223
1.68 KIPS |
|
|
Object Detection (Q)
|
91% |
25636
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4623
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
40524
481.5 IPS |
|
|
Face Detection (Q)
|
100% |
61255
727.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8624
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
113319
873.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
183960
1.44 KIPS |
|
|
Style Transfer (SP)
|
100% |
26256
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
240209
308.8 IPS |
|
|
Style Transfer (Q)
|
96% |
308980
398.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6068
224.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47745
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83107
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2901
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
6201
8.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5612
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5781
99.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16768
288.8 IPS |
|
|
Machine Translation (Q)
|
98% |
16778
289.9 IPS |
