Mac Studio (2023)
Geekbench AI Score
15205
Single Precision Score
16424
Half Precision Score
14737
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 09:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7090
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
7015
1.30 KIPS |
|
|
Image Classification (Q)
|
97% |
6087
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13952
226.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13798
223.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
13581
220.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
83675
97.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
87126
101.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
82507
96.7 IPS |
|
|
Object Detection (SP)
|
100% |
6548
519.4 IPS |
|
|
Object Detection (HP)
|
100% |
6857
543.9 IPS |
|
|
Object Detection (Q)
|
91% |
6027
481.6 IPS |
|
|
Face Detection (SP)
|
100% |
28123
334.2 IPS |
|
|
Face Detection (HP)
|
100% |
29263
347.7 IPS |
|
|
Face Detection (Q)
|
100% |
21641
257.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
33774
260.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
34708
267.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
29201
228.2 IPS |
|
|
Style Transfer (SP)
|
100% |
135407
174.1 IPS |
|
|
Style Transfer (HP)
|
100% |
153905
197.8 IPS |
|
|
Style Transfer (Q)
|
96% |
143653
185.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20413
753.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20940
773.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17437
643.9 IPS |
|
|
Text Classification (SP)
|
100% |
2329
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3996
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3991
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1994
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1889
32.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1861
32.2 IPS |
