Mac mini (2024)
Geekbench AI Score
5761
Single Precision Score
37083
Half Precision Score
49403
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | saronian |
| Upload Date | January 28 2025 08:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2077
386.3 IPS |
|
|
Image Classification (HP)
|
100% |
17477
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
23136
4.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2460
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23532
381.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
32691
529.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18912
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123437
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
229930
269.5 IPS |
|
|
Object Detection (SP)
|
100% |
2493
197.7 IPS |
|
|
Object Detection (HP)
|
100% |
19971
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
24074
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
4505
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
44746
531.7 IPS |
|
|
Face Detection (Q)
|
100% |
55134
655.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8799
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
111380
858.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
179472
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
35543
45.7 IPS |
|
|
Style Transfer (HP)
|
100% |
237212
304.9 IPS |
|
|
Style Transfer (Q)
|
96% |
304390
392.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7058
260.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46555
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79218
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5461
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5441
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
5753
99.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16141
278.0 IPS |
|
|
Machine Translation (Q)
|
98% |
15934
275.4 IPS |
