Mac mini (2024)
Geekbench AI Score
5780
Single Precision Score
36787
Half Precision Score
48680
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Phizzle |
| Upload Date | February 13 2025 08:22 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2080
386.7 IPS |
|
|
Image Classification (HP)
|
100% |
17172
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
21444
4.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2484
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23199
376.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32132
520.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18837
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123305
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
230580
270.3 IPS |
|
|
Object Detection (SP)
|
100% |
2489
197.5 IPS |
|
|
Object Detection (HP)
|
100% |
19727
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
24156
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4559
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
44534
529.2 IPS |
|
|
Face Detection (Q)
|
100% |
57316
681.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8837
68.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
111104
856.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
175897
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
35616
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
238513
306.6 IPS |
|
|
Style Transfer (Q)
|
96% |
303529
391.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7038
259.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47042
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77248
2.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2930
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5214
6.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5177
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5811
100.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16184
278.8 IPS |
|
|
Machine Translation (Q)
|
98% |
15914
275.0 IPS |
