Mac mini (2024)
Geekbench AI Score
5752
Single Precision Score
36614
Half Precision Score
49675
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 02 2025 08:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2085
387.7 IPS |
|
|
Image Classification (HP)
|
100% |
17539
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
22167
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2448
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23240
376.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32192
521.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18964
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123486
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
231576
271.4 IPS |
|
|
Object Detection (SP)
|
100% |
2481
196.8 IPS |
|
|
Object Detection (HP)
|
100% |
19792
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
23707
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
4501
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
44450
528.2 IPS |
|
|
Face Detection (Q)
|
100% |
63837
758.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8834
68.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
106129
817.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
179572
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
35472
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
238886
307.1 IPS |
|
|
Style Transfer (Q)
|
96% |
303058
391.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7028
259.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46419
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78598
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2935
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5110
6.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5051
6.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
5677
97.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16260
280.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16935
292.7 IPS |
