Mac mini (2023)
Geekbench AI Score
9283
Single Precision Score
10324
Half Precision Score
9031
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Mojoxer |
| Upload Date | November 17 2024 06:08 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.48 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5111
950.5 IPS |
|
|
Image Classification (HP)
|
100% |
5303
986.2 IPS |
|
|
Image Classification (Q)
|
97% |
4305
803.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7214
116.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7187
116.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7115
115.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
37262
43.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
39447
46.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
36592
42.9 IPS |
|
|
Object Detection (SP)
|
100% |
4620
366.5 IPS |
|
|
Object Detection (HP)
|
100% |
4920
390.2 IPS |
|
|
Object Detection (Q)
|
91% |
4189
334.7 IPS |
|
|
Face Detection (SP)
|
100% |
16702
198.5 IPS |
|
|
Face Detection (HP)
|
100% |
17365
206.3 IPS |
|
|
Face Detection (Q)
|
100% |
12349
146.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
23966
184.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
25164
193.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
20377
159.3 IPS |
|
|
Style Transfer (SP)
|
100% |
68621
88.2 IPS |
|
|
Style Transfer (HP)
|
100% |
74818
96.2 IPS |
|
|
Style Transfer (Q)
|
96% |
69710
90.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13348
492.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13942
514.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11128
410.9 IPS |
|
|
Text Classification (SP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3981
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3960
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
877
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1025
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
995
17.2 IPS |
