Mac mini (2024)
Geekbench AI Score
12534
Single Precision Score
14549
Half Precision Score
12641
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Phizzle |
| Upload Date | February 13 2025 08:20 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6894
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
7292
1.36 KIPS |
|
|
Image Classification (Q)
|
97% |
6250
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10546
171.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11050
179.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11300
183.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
46293
54.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
48299
56.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
45757
53.6 IPS |
|
|
Object Detection (SP)
|
100% |
6741
534.7 IPS |
|
|
Object Detection (HP)
|
100% |
7219
572.6 IPS |
|
|
Object Detection (Q)
|
91% |
6003
479.7 IPS |
|
|
Face Detection (SP)
|
100% |
23350
277.5 IPS |
|
|
Face Detection (HP)
|
100% |
24972
296.7 IPS |
|
|
Face Detection (Q)
|
100% |
18737
222.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
31194
240.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
33061
254.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
27227
212.8 IPS |
|
|
Style Transfer (SP)
|
100% |
104871
134.8 IPS |
|
|
Style Transfer (HP)
|
100% |
113004
145.3 IPS |
|
|
Style Transfer (Q)
|
96% |
106996
138.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16425
606.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17339
640.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13736
507.2 IPS |
|
|
Text Classification (SP)
|
100% |
2923
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5080
6.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5084
6.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1151
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1841
31.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1409
24.3 IPS |
