Mac mini (2023)
Geekbench AI Score
7151
Single Precision Score
7936
Half Precision Score
7304
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jankkhvej |
| Upload Date | May 12 2025 08:33 PM |
| Views | 3 |
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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3594
668.3 IPS |
|
|
Image Classification (HP)
|
100% |
3680
684.4 IPS |
|
|
Image Classification (Q)
|
96% |
3371
629.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5611
91.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5742
93.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5531
89.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24304
28.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
23833
27.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
22876
26.8 IPS |
|
|
Object Detection (SP)
|
100% |
3590
284.7 IPS |
|
|
Object Detection (HP)
|
100% |
3679
291.8 IPS |
|
|
Object Detection (Q)
|
92% |
3284
262.1 IPS |
|
|
Face Detection (SP)
|
100% |
9320
110.7 IPS |
|
|
Face Detection (HP)
|
100% |
11343
134.8 IPS |
|
|
Face Detection (Q)
|
100% |
9257
110.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15748
121.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17590
135.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
15939
124.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42090
54.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48432
62.3 IPS |
|
|
Style Transfer (Q)
|
96% |
45524
58.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9943
367.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10255
378.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8771
323.9 IPS |
|
|
Text Classification (SP)
|
100% |
1559
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2481
3.31 KIPS |
|
|
Text Classification (Q)
|
93% |
2456
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2077
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2176
37.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2135
36.9 IPS |
