Mac mini (2023)
Geekbench AI Score
2233
Single Precision Score
15060
Half Precision Score
16020
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Sprudent3 |
| Upload Date | August 16 2024 12:46 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | Mac mini (2023) |
| Model ID | Mac14,12 |
| Motherboard | Mac14,12 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1097
203.9 IPS |
|
|
Image Classification (HP)
|
100% |
7612
1.42 KIPS |
|
|
Image Classification (Q)
|
99% |
8087
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
750
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5109
82.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
5130
83.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11069
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
92858
108.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
87568
102.7 IPS |
|
|
Object Detection (SP)
|
100% |
1218
96.6 IPS |
|
|
Object Detection (HP)
|
99% |
9124
725.8 IPS |
|
|
Object Detection (Q)
|
93% |
10110
806.7 IPS |
|
|
Face Detection (SP)
|
100% |
2024
24.0 IPS |
|
|
Face Detection (HP)
|
100% |
11778
139.9 IPS |
|
|
Face Detection (Q)
|
100% |
13802
164.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3975
30.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
55513
427.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
60311
466.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13152
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
145108
186.5 IPS |
|
|
Style Transfer (Q)
|
100% |
145157
186.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2584
95.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20863
770.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27719
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
553
738.1 IPS |
|
|
Text Classification (HP)
|
100% |
4049
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
3991
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1838
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2273
39.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2269
39.2 IPS |
