Mac mini (2023)
Geekbench AI Score
4101
Single Precision Score
27561
Half Precision Score
31139
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | prondtoo |
| Upload Date | November 03 2024 02:39 PM |
| Views | 4 |
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 | 3.44 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1388
258.0 IPS |
|
|
Image Classification (HP)
|
100% |
14445
2.69 KIPS |
|
|
Image Classification (Q)
|
96% |
17463
3.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1675
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19521
316.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24405
395.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12430
14.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
106775
124.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
104407
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
1664
132.0 IPS |
|
|
Object Detection (HP)
|
99% |
15475
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
17299
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3570
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
33892
402.7 IPS |
|
|
Face Detection (Q)
|
100% |
45939
545.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6282
48.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
88175
679.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
109707
857.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24904
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
205015
263.5 IPS |
|
|
Style Transfer (Q)
|
96% |
194064
250.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5004
184.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42466
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49512
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2260
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3971
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3925
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4437
76.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5254
90.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5859
101.3 IPS |
