Mac mini (2023)
Geekbench AI Score
6886
Single Precision Score
7682
Half Precision Score
6715
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | rgba |
| Upload Date | September 17 2024 09:42 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
3639
676.7 IPS |
|
|
Image Classification (HP)
|
100% |
3645
677.8 IPS |
|
|
Image Classification (Q)
|
97% |
2769
516.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4042
65.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5034
81.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5004
81.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24682
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26277
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24032
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
3699
293.4 IPS |
|
|
Object Detection (HP)
|
100% |
3708
294.1 IPS |
|
|
Object Detection (Q)
|
91% |
2853
228.0 IPS |
|
|
Face Detection (SP)
|
100% |
10471
124.4 IPS |
|
|
Face Detection (HP)
|
100% |
11984
142.4 IPS |
|
|
Face Detection (Q)
|
100% |
8270
98.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16686
128.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
17882
137.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
13808
107.9 IPS |
|
|
Style Transfer (SP)
|
100% |
42424
54.5 IPS |
|
|
Style Transfer (HP)
|
100% |
48526
62.4 IPS |
|
|
Style Transfer (Q)
|
96% |
45306
58.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9890
365.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10187
376.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7720
285.1 IPS |
|
|
Text Classification (SP)
|
100% |
2224
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3735
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3705
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1096
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1013
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1327
22.9 IPS |
