Mac mini (2023)
Geekbench AI Score
4339
Single Precision Score
27851
Half Precision Score
31359
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | T1nue |
| Upload Date | November 09 2024 08:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1475
274.2 IPS |
|
|
Image Classification (HP)
|
100% |
14758
2.74 KIPS |
|
|
Image Classification (Q)
|
96% |
17585
3.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1816
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19264
312.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23185
375.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12770
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
106687
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104342
122.3 IPS |
|
|
Object Detection (SP)
|
100% |
1803
143.0 IPS |
|
|
Object Detection (HP)
|
99% |
15838
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17652
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3825
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
36650
435.5 IPS |
|
|
Face Detection (Q)
|
100% |
47264
561.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6502
50.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
87895
677.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
109609
856.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26305
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
204703
263.1 IPS |
|
|
Style Transfer (Q)
|
96% |
192183
248.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5444
201.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42124
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51873
1.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4032
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4010
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4687
80.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5220
89.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5915
102.2 IPS |
