Mac Studio (2023)
Geekbench AI Score
4576
Single Precision Score
7180
Half Precision Score
5615
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | l3uzz |
| Upload Date | February 02 2025 05:19 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,14 |
| Motherboard | Mac14,14 |
| CPU Information | |
|---|---|
| Name | Apple M2 Ultra |
| Topology | 1 Processor, 24 Cores |
| Identifier | Apple M2 Ultra |
| Base Frequency | 3.67 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1473
274.0 IPS |
|
|
Image Classification (HP)
|
100% |
2270
422.1 IPS |
|
|
Image Classification (Q)
|
96% |
1671
312.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1768
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2505
40.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3110
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18567
21.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30596
35.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
23112
27.1 IPS |
|
|
Object Detection (SP)
|
100% |
1863
147.8 IPS |
|
|
Object Detection (HP)
|
97% |
2923
232.7 IPS |
|
|
Object Detection (Q)
|
94% |
2067
164.7 IPS |
|
|
Face Detection (SP)
|
100% |
3705
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
6498
77.2 IPS |
|
|
Face Detection (Q)
|
100% |
3674
43.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6505
50.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11893
91.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8086
63.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26820
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41738
53.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31783
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6017
222.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8210
303.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5021
185.4 IPS |
|
|
Text Classification (SP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4063
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4003
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4913
84.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6655
115.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6622
114.4 IPS |
