Mac mini (2023)
Geekbench AI Score
4121
Single Precision Score
22897
Half Precision Score
25116
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 16 2024 11:21 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.46 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1373
255.3 IPS |
|
|
Image Classification (HP)
|
100% |
14033
2.61 KIPS |
|
|
Image Classification (Q)
|
96% |
16332
3.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1673
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10050
162.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
11152
180.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12568
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
106032
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
104188
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1671
132.5 IPS |
|
|
Object Detection (HP)
|
99% |
14979
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
16442
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
3599
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
35226
418.6 IPS |
|
|
Face Detection (Q)
|
100% |
44945
534.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6257
48.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
87186
671.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
108075
844.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24950
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
156012
200.6 IPS |
|
|
Style Transfer (Q)
|
96% |
156630
202.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5086
187.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41143
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48043
1.77 KIPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3890
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3819
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
4487
77.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2306
39.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2294
39.6 IPS |
