Mac Studio (2023)/M2 Max Mac Studio (2023)
Geekbench AI Score
13654
Single Precision Score
14661
Half Precision Score
13071
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 11 2025 02:45 AM |
| Views | 5 |
| Notes | Mac Studio (2023)/M2 Max/12Core CPU/30CoreGPU/32GB/512GB SSD |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,13 |
| Motherboard | Mac14,13 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6283
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
6369
1.18 KIPS |
|
|
Image Classification (Q)
|
97% |
5553
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11860
192.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11633
188.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11522
186.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
61743
72.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
64605
75.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
59705
70.0 IPS |
|
|
Object Detection (SP)
|
100% |
5925
470.0 IPS |
|
|
Object Detection (HP)
|
100% |
6274
497.7 IPS |
|
|
Object Detection (Q)
|
91% |
5371
429.2 IPS |
|
|
Face Detection (SP)
|
100% |
25099
298.2 IPS |
|
|
Face Detection (HP)
|
100% |
25275
300.3 IPS |
|
|
Face Detection (Q)
|
100% |
18911
224.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
28666
220.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
29040
223.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
24488
191.4 IPS |
|
|
Style Transfer (SP)
|
100% |
114278
146.9 IPS |
|
|
Style Transfer (HP)
|
100% |
128120
164.7 IPS |
|
|
Style Transfer (Q)
|
96% |
119159
153.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20758
766.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20644
762.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16515
609.8 IPS |
|
|
Text Classification (SP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3966
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3945
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2079
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1985
34.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1975
34.1 IPS |
