Mac Studio (2023)
Geekbench AI Score
15388
Single Precision Score
16575
Half Precision Score
14845
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | sth519 |
| Upload Date | April 01 2025 01:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 3.68 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6853
1.27 KIPS |
|
|
Image Classification (HP)
|
100% |
6927
1.29 KIPS |
|
|
Image Classification (Q)
|
97% |
6027
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13941
226.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13585
220.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13521
219.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
83548
97.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
87301
101.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
82024
96.1 IPS |
|
|
Object Detection (SP)
|
100% |
6469
513.2 IPS |
|
|
Object Detection (HP)
|
100% |
6801
539.4 IPS |
|
|
Object Detection (Q)
|
91% |
5842
466.8 IPS |
|
|
Face Detection (SP)
|
100% |
28345
336.8 IPS |
|
|
Face Detection (HP)
|
100% |
28898
343.4 IPS |
|
|
Face Detection (Q)
|
100% |
21273
252.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
33636
259.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
34496
265.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
28893
225.8 IPS |
|
|
Style Transfer (SP)
|
100% |
136947
176.0 IPS |
|
|
Style Transfer (HP)
|
100% |
153462
197.3 IPS |
|
|
Style Transfer (Q)
|
96% |
144067
185.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20291
749.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21058
777.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17251
637.0 IPS |
|
|
Text Classification (SP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4024
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4006
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2386
41.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2161
37.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2176
37.6 IPS |
