Mac mini (2023)
Geekbench AI Score
10416
Single Precision Score
11328
Half Precision Score
10085
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | chibifire |
| Upload Date | January 26 2025 06:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.45 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5420
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
5699
1.06 KIPS |
|
|
Image Classification (Q)
|
97% |
4752
886.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
8136
131.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8190
132.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8226
133.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
44997
52.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
47644
55.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
44230
51.8 IPS |
|
|
Object Detection (SP)
|
100% |
5086
403.4 IPS |
|
|
Object Detection (HP)
|
100% |
5185
411.3 IPS |
|
|
Object Detection (Q)
|
91% |
4364
348.8 IPS |
|
|
Face Detection (SP)
|
100% |
17986
213.7 IPS |
|
|
Face Detection (HP)
|
100% |
19557
232.4 IPS |
|
|
Face Detection (Q)
|
100% |
13954
165.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
25916
199.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
27051
208.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
22843
178.5 IPS |
|
|
Style Transfer (SP)
|
100% |
80101
103.0 IPS |
|
|
Style Transfer (HP)
|
100% |
85885
110.4 IPS |
|
|
Style Transfer (Q)
|
96% |
80240
103.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17691
653.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18688
690.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15184
560.7 IPS |
|
|
Text Classification (SP)
|
100% |
2326
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3991
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3994
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
970
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
891
15.3 IPS |
|
|
Machine Translation (Q)
|
98% |
930
16.1 IPS |
