Mac mini (2024)
Geekbench AI Score
5764
Single Precision Score
37639
Half Precision Score
50595
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 25 2024 07:50 AM |
| Views | 3 |
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, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2079
386.6 IPS |
|
|
Image Classification (HP)
|
100% |
18037
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
23229
4.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2480
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23236
376.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32472
526.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18887
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123386
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231510
271.3 IPS |
|
|
Object Detection (SP)
|
100% |
2489
197.4 IPS |
|
|
Object Detection (HP)
|
100% |
20278
1.61 KIPS |
|
|
Object Detection (Q)
|
91% |
24591
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
4566
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
43923
521.9 IPS |
|
|
Face Detection (Q)
|
100% |
67377
800.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8515
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
108015
832.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
180776
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
35759
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
238288
306.3 IPS |
|
|
Style Transfer (Q)
|
96% |
297048
383.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7035
259.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46980
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79695
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
2968
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
6277
8.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5258
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5761
99.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16325
281.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16886
291.8 IPS |
