Mac mini (2023)
Geekbench AI Score
4116
Single Precision Score
6691
Half Precision Score
5243
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 16 2024 11:26 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5035e) |
| Model | Mac mini (2023) |
| Model ID | Mac14,12 |
| Motherboard | Mac14,12 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1385
257.5 IPS |
|
|
Image Classification (HP)
|
100% |
2260
420.3 IPS |
|
|
Image Classification (Q)
|
96% |
1658
309.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1659
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2491
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2924
47.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12833
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
25073
29.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
18776
22.0 IPS |
|
|
Object Detection (SP)
|
100% |
1676
132.9 IPS |
|
|
Object Detection (HP)
|
97% |
2724
216.8 IPS |
|
|
Object Detection (Q)
|
94% |
1994
158.9 IPS |
|
|
Face Detection (SP)
|
100% |
3581
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
5867
69.7 IPS |
|
|
Face Detection (Q)
|
100% |
3359
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6268
48.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12337
95.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8136
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25118
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39344
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30348
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5092
188.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6958
256.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4410
162.8 IPS |
|
|
Text Classification (SP)
|
100% |
2243
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3863
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3864
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4391
75.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6113
105.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6123
105.8 IPS |
