Mac mini (2023)
Geekbench AI Score
3454
Single Precision Score
23460
Half Precision Score
25724
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Jaleelajmal |
| Upload Date | September 22 2024 11:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| 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% |
1385
257.5 IPS |
|
|
Image Classification (HP)
|
100% |
14642
2.72 KIPS |
|
|
Image Classification (Q)
|
96% |
15629
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1549
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10035
162.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11231
182.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6876
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
106141
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
105573
123.7 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.6 IPS |
|
|
Object Detection (HP)
|
99% |
15217
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
17334
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3130
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
33657
399.9 IPS |
|
|
Face Detection (Q)
|
100% |
42885
509.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5704
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
86865
669.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
109900
858.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18791
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
203181
261.2 IPS |
|
|
Style Transfer (Q)
|
96% |
191064
246.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4071
150.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40287
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49698
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2169
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
3638
4.86 KIPS |
|
|
Text Classification (Q)
|
93% |
3619
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3557
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2445
42.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2439
42.1 IPS |
