Mac mini (2023)
Geekbench AI Score
4077
Single Precision Score
27511
Half Precision Score
30653
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | cvgb |
| Upload Date | May 06 2025 12:12 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 3.46 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1366
254.1 IPS |
|
|
Image Classification (HP)
|
100% |
13861
2.58 KIPS |
|
|
Image Classification (Q)
|
96% |
16693
3.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1671
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19409
314.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24447
396.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12814
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
106411
124.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
104199
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1676
133.0 IPS |
|
|
Object Detection (HP)
|
99% |
15259
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
16611
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
3437
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
35434
421.0 IPS |
|
|
Face Detection (Q)
|
100% |
43484
516.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6163
47.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
87419
673.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
108596
848.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24712
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
205050
263.6 IPS |
|
|
Style Transfer (Q)
|
96% |
191326
246.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5032
185.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41733
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48352
1.79 KIPS |
|
|
Text Classification (SP)
|
100% |
2335
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4005
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3985
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4215
72.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5356
92.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5956
102.9 IPS |
