Mac mini (2024)
Geekbench AI Score
15422
Single Precision Score
17172
Half Precision Score
15286
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Aaronage |
| Upload Date | December 11 2024 03:58 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7966
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
8002
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
6860
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11983
194.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12894
209.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13283
215.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
56722
66.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
59045
68.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
55871
65.5 IPS |
|
|
Object Detection (SP)
|
100% |
7133
565.8 IPS |
|
|
Object Detection (HP)
|
100% |
7682
609.3 IPS |
|
|
Object Detection (Q)
|
91% |
6477
517.6 IPS |
|
|
Face Detection (SP)
|
100% |
25639
304.6 IPS |
|
|
Face Detection (HP)
|
100% |
26887
319.5 IPS |
|
|
Face Detection (Q)
|
100% |
21073
250.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
33124
255.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35864
276.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
29386
229.7 IPS |
|
|
Style Transfer (SP)
|
100% |
123384
158.6 IPS |
|
|
Style Transfer (HP)
|
100% |
134796
173.3 IPS |
|
|
Style Transfer (Q)
|
96% |
126855
163.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22802
842.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24050
888.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19254
711.0 IPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5184
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5201
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2815
48.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2940
50.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2686
46.4 IPS |
