Mac mini (2024)
Geekbench AI Score
5745
Single Precision Score
37561
Half Precision Score
49757
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Samhain |
| Upload Date | December 20 2024 07:19 PM |
| Views | 14 |
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 | 4.49 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2091
388.8 IPS |
|
|
Image Classification (HP)
|
100% |
17669
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
22882
4.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2476
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23231
376.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32185
521.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18919
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123644
144.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231151
270.9 IPS |
|
|
Object Detection (SP)
|
100% |
2439
193.4 IPS |
|
|
Object Detection (HP)
|
100% |
20034
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
25428
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4538
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
44437
528.0 IPS |
|
|
Face Detection (Q)
|
100% |
54684
649.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8754
67.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
112818
869.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
179424
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
35218
45.3 IPS |
|
|
Style Transfer (HP)
|
100% |
238334
306.4 IPS |
|
|
Style Transfer (Q)
|
96% |
303397
391.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7026
259.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46797
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79231
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2940
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5941
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5494
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
5680
97.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16551
285.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16583
286.6 IPS |
