Mac Studio (2023)
Geekbench AI Score
4144
Single Precision Score
6737
Half Precision Score
5326
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | unixwizard |
| Upload Date | February 10 2025 02:08 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.66 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1375
255.7 IPS |
|
|
Image Classification (HP)
|
100% |
2238
416.2 IPS |
|
|
Image Classification (Q)
|
96% |
1662
310.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1664
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2550
41.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2989
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12898
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
24921
29.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
19481
22.8 IPS |
|
|
Object Detection (SP)
|
100% |
1645
130.5 IPS |
|
|
Object Detection (HP)
|
97% |
2661
211.9 IPS |
|
|
Object Detection (Q)
|
94% |
1934
154.2 IPS |
|
|
Face Detection (SP)
|
100% |
3636
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
5788
68.8 IPS |
|
|
Face Detection (Q)
|
100% |
3456
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6317
48.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12196
94.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8203
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24896
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38462
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30308
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5110
188.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7073
261.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4489
165.7 IPS |
|
|
Text Classification (SP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4107
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4036
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4555
78.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6453
111.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6308
109.0 IPS |
