Mac Studio (2023)/M2 Max Mac Studio (2023)
Geekbench AI Score
4158
Single Precision Score
26728
Half Precision Score
29850
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 11 2025 02:49 AM |
| Views | 9 |
| Notes | Mac Studio (2023)/M2 Max/12Core CPU/30CoreGPU/32GB/512GB SSD |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1406
261.4 IPS |
|
|
Image Classification (HP)
|
100% |
13770
2.56 KIPS |
|
|
Image Classification (Q)
|
96% |
16488
3.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1699
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19510
316.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24428
396.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13007
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
106101
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104150
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1700
134.8 IPS |
|
|
Object Detection (HP)
|
99% |
15298
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
17056
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3663
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
34822
413.8 IPS |
|
|
Face Detection (Q)
|
100% |
45055
535.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6314
48.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
87416
673.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
109304
854.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24915
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
203429
261.5 IPS |
|
|
Style Transfer (Q)
|
96% |
189598
244.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5119
189.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41227
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48812
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3970
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3945
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4328
74.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4211
72.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4367
75.5 IPS |
