Mac mini (2023)
Geekbench AI Score
6357
Single Precision Score
6610
Half Precision Score
5923
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AArch64
Result Information
| Upload Date | August 11 2024 08:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | Mac mini (2023) |
| Model ID | Mac14,3 |
| Motherboard | Mac14,3 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3416
635.3 IPS |
|
|
Image Classification (HP)
|
100% |
3374
627.4 IPS |
|
|
Image Classification (Q)
|
99% |
3024
564.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3770
61.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4792
77.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
4672
75.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
23620
27.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
25573
29.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
23277
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
3467
275.0 IPS |
|
|
Object Detection (HP)
|
100% |
3539
280.7 IPS |
|
|
Object Detection (Q)
|
92% |
2728
217.7 IPS |
|
|
Face Detection (SP)
|
100% |
9604
114.1 IPS |
|
|
Face Detection (HP)
|
100% |
11071
131.6 IPS |
|
|
Face Detection (Q)
|
100% |
7592
90.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16162
124.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17468
134.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
17342
134.1 IPS |
|
|
Style Transfer (SP)
|
100% |
41371
53.2 IPS |
|
|
Style Transfer (HP)
|
100% |
47717
61.3 IPS |
|
|
Style Transfer (Q)
|
100% |
47637
61.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9330
344.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9997
369.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7543
279.4 IPS |
|
|
Text Classification (SP)
|
100% |
1131
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
771
1.03 KIPS |
|
|
Text Classification (Q)
|
93% |
767
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1509
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1532
26.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1635
28.3 IPS |
