Mac mini (2024)
Geekbench AI Score
5749
Single Precision Score
37321
Half Precision Score
50753
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 31 2024 03:12 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, 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% |
2097
389.9 IPS |
|
|
Image Classification (HP)
|
100% |
18367
3.42 KIPS |
|
|
Image Classification (Q)
|
97% |
23072
4.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2519
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23236
376.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32358
524.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18942
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
124000
144.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
229975
269.5 IPS |
|
|
Object Detection (SP)
|
100% |
2454
194.7 IPS |
|
|
Object Detection (HP)
|
100% |
20382
1.62 KIPS |
|
|
Object Detection (Q)
|
91% |
26221
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4524
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
44557
529.4 IPS |
|
|
Face Detection (Q)
|
100% |
64069
761.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8615
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
106229
818.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
181622
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
34916
44.9 IPS |
|
|
Style Transfer (HP)
|
100% |
238069
306.0 IPS |
|
|
Style Transfer (Q)
|
96% |
303738
392.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7063
260.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47921
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79232
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2923
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5429
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5386
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
5718
98.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16580
285.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16702
288.6 IPS |
