Mac mini (2024)
Geekbench AI Score
13786
Single Precision Score
15456
Half Precision Score
13778
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | timk |
| Upload Date | December 14 2024 11:04 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7645
1.42 KIPS |
|
|
Image Classification (HP)
|
100% |
8027
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
6950
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11992
194.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12822
207.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
13313
215.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
56699
66.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
59113
69.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
55847
65.5 IPS |
|
|
Object Detection (SP)
|
100% |
7155
567.5 IPS |
|
|
Object Detection (HP)
|
100% |
7695
610.4 IPS |
|
|
Object Detection (Q)
|
91% |
6468
516.8 IPS |
|
|
Face Detection (SP)
|
100% |
25350
301.2 IPS |
|
|
Face Detection (HP)
|
100% |
28839
342.7 IPS |
|
|
Face Detection (Q)
|
100% |
20827
247.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
33776
260.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35758
275.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
29897
233.7 IPS |
|
|
Style Transfer (SP)
|
100% |
123822
159.2 IPS |
|
|
Style Transfer (HP)
|
100% |
135758
174.5 IPS |
|
|
Style Transfer (Q)
|
96% |
127469
164.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23419
864.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24355
899.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19478
719.2 IPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5174
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5093
6.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
917
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
942
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
937
16.2 IPS |
