Mac mini (2023)
Geekbench AI Score
4119
Single Precision Score
27116
Half Precision Score
30543
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Mojoxer |
| Upload Date | November 17 2024 06:11 PM |
| Views | 6 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
13987
2.60 KIPS |
|
|
Image Classification (Q)
|
96% |
16703
3.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1661
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19518
316.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24530
397.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12756
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
106135
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104453
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
1672
132.6 IPS |
|
|
Object Detection (HP)
|
99% |
15204
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
16551
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
3612
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
35438
421.1 IPS |
|
|
Face Detection (Q)
|
100% |
46170
548.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6341
48.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
87490
674.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
108943
851.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24999
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
204159
262.4 IPS |
|
|
Style Transfer (Q)
|
96% |
189291
244.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5057
186.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40693
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48431
1.79 KIPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3970
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3942
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4318
74.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4772
82.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5488
94.8 IPS |
