Mac mini (2023)
Geekbench AI Score
9551
Single Precision Score
10402
Half Precision Score
9187
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jwchess |
| Upload Date | January 28 2025 02:23 PM |
| Views | 4 |
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, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5201
967.2 IPS |
|
|
Image Classification (HP)
|
100% |
5574
1.04 KIPS |
|
|
Image Classification (Q)
|
97% |
4529
845.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7417
120.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7347
119.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7321
118.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
37262
43.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
39693
46.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
36868
43.2 IPS |
|
|
Object Detection (SP)
|
100% |
4722
374.6 IPS |
|
|
Object Detection (HP)
|
100% |
5038
399.6 IPS |
|
|
Object Detection (Q)
|
91% |
4264
340.7 IPS |
|
|
Face Detection (SP)
|
100% |
16654
197.9 IPS |
|
|
Face Detection (HP)
|
100% |
17160
203.9 IPS |
|
|
Face Detection (Q)
|
100% |
12465
148.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
25071
193.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
25226
194.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
21340
166.8 IPS |
|
|
Style Transfer (SP)
|
100% |
69121
88.9 IPS |
|
|
Style Transfer (HP)
|
100% |
75412
96.9 IPS |
|
|
Style Transfer (Q)
|
96% |
70688
91.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13446
496.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14752
544.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11322
418.1 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4006
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4005
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1040
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
939
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
964
16.7 IPS |
