Mac Studio (2023)
Geekbench AI Score
14534
Single Precision Score
15894
Half Precision Score
14857
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | TerrenceMiao |
| Upload Date | April 08 2025 04:51 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 3.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6403
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
6547
1.22 KIPS |
|
|
Image Classification (Q)
|
96% |
5990
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13549
219.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13451
218.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
12878
208.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
61420
71.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
64576
75.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
62170
72.8 IPS |
|
|
Object Detection (SP)
|
100% |
5887
467.0 IPS |
|
|
Object Detection (HP)
|
100% |
6230
494.2 IPS |
|
|
Object Detection (Q)
|
92% |
5822
464.8 IPS |
|
|
Face Detection (SP)
|
100% |
24815
294.9 IPS |
|
|
Face Detection (HP)
|
100% |
25461
302.5 IPS |
|
|
Face Detection (Q)
|
100% |
22251
264.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
28523
219.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
29541
227.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
27103
211.9 IPS |
|
|
Style Transfer (SP)
|
100% |
114052
146.6 IPS |
|
|
Style Transfer (HP)
|
100% |
127740
164.2 IPS |
|
|
Style Transfer (Q)
|
96% |
125669
162.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19799
731.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20979
774.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18246
673.7 IPS |
|
|
Text Classification (SP)
|
100% |
2368
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4106
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4096
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3544
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3510
60.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3314
57.3 IPS |
