Mac mini (2023)
Geekbench AI Score
3188
Single Precision Score
4802
Half Precision Score
3981
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AArch64
Result Information
| Upload Date | August 11 2024 08:39 AM |
| Views | 33 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 3.48 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1489
276.8 IPS |
|
|
Image Classification (HP)
|
100% |
1838
341.8 IPS |
|
|
Image Classification (Q)
|
99% |
1838
342.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1335
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1319
21.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
1320
21.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6272
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
14922
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
12672
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1592
126.3 IPS |
|
|
Object Detection (HP)
|
97% |
2236
178.0 IPS |
|
|
Object Detection (Q)
|
94% |
1718
136.9 IPS |
|
|
Face Detection (SP)
|
100% |
3011
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
4469
53.1 IPS |
|
|
Face Detection (Q)
|
100% |
2864
34.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5509
42.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8660
66.9 IPS |
|
|
Depth Estimation (Q)
|
96% |
4333
33.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17029
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26852
34.5 IPS |
|
|
Style Transfer (Q)
|
100% |
26889
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3820
141.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4924
181.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3611
133.8 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3390
4.52 KIPS |
|
|
Text Classification (Q)
|
93% |
3368
4.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2200
37.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4656
80.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4668
80.7 IPS |
