Mac mini (2023)
Geekbench AI Score
7640
Single Precision Score
8496
Half Precision Score
7890
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mantis30pl |
| Upload Date | April 28 2025 09:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3670
682.5 IPS |
|
|
Image Classification (HP)
|
100% |
3656
679.8 IPS |
|
|
Image Classification (Q)
|
96% |
3448
643.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5707
92.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5861
95.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5607
90.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24647
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26278
30.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
25425
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
3649
289.5 IPS |
|
|
Object Detection (HP)
|
100% |
3751
297.6 IPS |
|
|
Object Detection (Q)
|
92% |
3376
269.5 IPS |
|
|
Face Detection (SP)
|
100% |
10340
122.9 IPS |
|
|
Face Detection (HP)
|
100% |
12028
142.9 IPS |
|
|
Face Detection (Q)
|
100% |
10005
118.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16809
129.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17890
137.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
16382
128.1 IPS |
|
|
Style Transfer (SP)
|
100% |
42498
54.6 IPS |
|
|
Style Transfer (HP)
|
100% |
48657
62.5 IPS |
|
|
Style Transfer (Q)
|
96% |
47185
60.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9824
362.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10183
376.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8866
327.4 IPS |
|
|
Text Classification (SP)
|
100% |
2334
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3865
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3843
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2124
36.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2252
38.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2140
37.0 IPS |
