Mac mini (2024)
Geekbench AI Score
5441
Single Precision Score
36995
Half Precision Score
49955
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | fhlipzero |
| Upload Date | October 20 2025 01:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.41 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1985
369.1 IPS |
|
|
Image Classification (HP)
|
100% |
17806
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
22337
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2279
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23437
379.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
32191
521.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16723
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121701
142.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
228193
267.5 IPS |
|
|
Object Detection (SP)
|
100% |
2407
190.9 IPS |
|
|
Object Detection (HP)
|
100% |
20180
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
24322
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4435
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
44159
524.7 IPS |
|
|
Face Detection (Q)
|
100% |
61906
735.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8038
61.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
109328
842.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
175644
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
28543
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
234943
302.0 IPS |
|
|
Style Transfer (Q)
|
96% |
324002
418.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6957
256.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49272
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79358
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
3282
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5108
6.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5336
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
5380
92.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16414
282.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16258
281.0 IPS |
