Mac Studio (2023)
Geekbench AI Score
4131
Single Precision Score
6718
Half Precision Score
5305
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tim2o |
| Upload Date | January 07 2025 12:31 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1403
261.0 IPS |
|
|
Image Classification (HP)
|
100% |
2281
424.3 IPS |
|
|
Image Classification (Q)
|
96% |
1653
308.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1664
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2508
40.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2923
47.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12773
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
24937
29.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
19944
23.4 IPS |
|
|
Object Detection (SP)
|
100% |
1690
134.0 IPS |
|
|
Object Detection (HP)
|
97% |
2730
217.3 IPS |
|
|
Object Detection (Q)
|
94% |
2019
161.0 IPS |
|
|
Face Detection (SP)
|
100% |
3665
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
5816
69.1 IPS |
|
|
Face Detection (Q)
|
100% |
3308
39.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6375
49.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12119
93.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8217
64.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24733
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
39138
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30173
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5105
188.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6980
257.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4481
165.5 IPS |
|
|
Text Classification (SP)
|
100% |
2335
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3990
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3969
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4176
71.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6267
108.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6230
107.7 IPS |
