Mac mini (2023)
Geekbench AI Score
6447
Single Precision Score
6593
Half Precision Score
2185
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | KD8UXA |
| Upload Date | December 05 2024 09:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.4 (Build 23E214) |
| Model | Mac mini (2023) |
| Model ID | Mac14,3 |
| Motherboard | Mac14,3 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3513
653.3 IPS |
|
|
Image Classification (HP)
|
100% |
3516
653.8 IPS |
|
|
Image Classification (Q)
|
97% |
2624
489.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3997
64.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4931
79.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4846
78.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
24528
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26321
30.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
23757
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
3555
282.0 IPS |
|
|
Object Detection (HP)
|
100% |
3595
285.2 IPS |
|
|
Object Detection (Q)
|
92% |
2826
225.6 IPS |
|
|
Face Detection (SP)
|
100% |
9894
117.6 IPS |
|
|
Face Detection (HP)
|
100% |
11403
135.5 IPS |
|
|
Face Detection (Q)
|
100% |
7683
91.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16639
128.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
17676
136.2 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
108.0 IPS |
|
|
Style Transfer (SP)
|
100% |
42202
54.3 IPS |
|
|
Style Transfer (HP)
|
100% |
48469
62.3 IPS |
|
|
Style Transfer (Q)
|
96% |
45049
58.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9599
354.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10143
374.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7847
289.8 IPS |
|
|
Text Classification (SP)
|
100% |
1057
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
627
837.1 IPS |
|
|
Text Classification (Q)
|
93% |
745
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1438
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1524
26.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1438
24.8 IPS |
