Mac mini (2024)
Geekbench AI Score
12942
Single Precision Score
14421
Half Precision Score
12879
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | urix |
| Upload Date | February 22 2025 08:21 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7181
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
7698
1.43 KIPS |
|
|
Image Classification (Q)
|
97% |
6879
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10828
175.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
11398
184.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11532
186.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
46433
54.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
48533
56.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
46058
54.0 IPS |
|
|
Object Detection (SP)
|
100% |
6873
545.1 IPS |
|
|
Object Detection (HP)
|
100% |
7465
592.1 IPS |
|
|
Object Detection (Q)
|
91% |
6137
490.4 IPS |
|
|
Face Detection (SP)
|
100% |
23703
281.6 IPS |
|
|
Face Detection (HP)
|
100% |
24677
293.2 IPS |
|
|
Face Detection (Q)
|
100% |
18206
216.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
31245
240.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
33226
256.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
27543
215.3 IPS |
|
|
Style Transfer (SP)
|
100% |
105031
135.0 IPS |
|
|
Style Transfer (HP)
|
100% |
113143
145.4 IPS |
|
|
Style Transfer (Q)
|
96% |
107196
138.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17145
633.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17829
658.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14095
520.5 IPS |
|
|
Text Classification (SP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5292
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5327
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1358
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1399
24.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1388
24.0 IPS |
