Mac Studio (2023)/M2 Max Mac Studio (2023)
Geekbench AI Score
4185
Single Precision Score
6749
Half Precision Score
5313
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 11 2025 02:43 AM |
| Views | 12 |
| Notes | Mac Studio (2023)/M2 Max/12Core CPU/30CoreGPU/32GB/512GB SSD |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1404
261.0 IPS |
|
|
Image Classification (HP)
|
100% |
2256
419.5 IPS |
|
|
Image Classification (Q)
|
96% |
1662
310.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1681
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2550
41.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2955
47.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12974
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
24663
28.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
19229
22.5 IPS |
|
|
Object Detection (SP)
|
100% |
1703
135.1 IPS |
|
|
Object Detection (HP)
|
97% |
2725
216.9 IPS |
|
|
Object Detection (Q)
|
94% |
2015
160.6 IPS |
|
|
Face Detection (SP)
|
100% |
3705
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
5940
70.6 IPS |
|
|
Face Detection (Q)
|
100% |
3431
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6413
49.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12362
95.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8170
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25093
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39302
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30425
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5083
187.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7012
258.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4468
165.0 IPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3956
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3937
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4575
78.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6339
109.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6288
108.7 IPS |
