Mac mini (2023)
Geekbench AI Score
4151
Single Precision Score
27012
Half Precision Score
30081
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 17 2024 07:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1396
259.6 IPS |
|
|
Image Classification (HP)
|
100% |
14568
2.71 KIPS |
|
|
Image Classification (Q)
|
96% |
16698
3.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1690
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19755
320.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24234
392.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12697
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
106199
123.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
104314
122.3 IPS |
|
|
Object Detection (SP)
|
100% |
1685
133.6 IPS |
|
|
Object Detection (HP)
|
99% |
15261
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
17209
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3638
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
34738
412.8 IPS |
|
|
Face Detection (Q)
|
100% |
42755
508.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6381
49.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
87823
676.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
110435
863.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24938
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
203499
261.6 IPS |
|
|
Style Transfer (Q)
|
96% |
189227
244.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5127
189.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42028
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50479
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4008
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3954
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4461
76.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4241
73.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4684
80.9 IPS |
