Mac mini (2023)
Geekbench AI Score
7189
Single Precision Score
8074
Half Precision Score
7090
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | StanH |
| Upload Date | April 01 2025 12:37 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
3816
709.7 IPS |
|
|
Image Classification (HP)
|
100% |
3657
680.1 IPS |
|
|
Image Classification (Q)
|
97% |
2979
555.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4053
65.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5033
81.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5130
83.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
24668
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26370
30.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24785
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
3695
293.1 IPS |
|
|
Object Detection (HP)
|
100% |
3757
298.0 IPS |
|
|
Object Detection (Q)
|
91% |
3086
246.6 IPS |
|
|
Face Detection (SP)
|
100% |
10242
121.7 IPS |
|
|
Face Detection (HP)
|
100% |
11953
142.0 IPS |
|
|
Face Detection (Q)
|
100% |
8434
100.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16940
130.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18188
140.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
15124
118.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42167
54.2 IPS |
|
|
Style Transfer (HP)
|
100% |
48615
62.5 IPS |
|
|
Style Transfer (Q)
|
96% |
45567
58.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9958
367.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10281
379.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8002
295.5 IPS |
|
|
Text Classification (SP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3790
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3769
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1591
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1569
27.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1567
27.1 IPS |
