Mac Studio (2023)
Geekbench AI Score
13879
Single Precision Score
14974
Half Precision Score
13404
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 21 2024 09:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
6743
1.25 KIPS |
|
|
Image Classification (HP)
|
100% |
6754
1.26 KIPS |
|
|
Image Classification (Q)
|
97% |
5812
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11860
192.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11684
189.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
11898
192.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
62224
72.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
65206
76.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
60063
70.4 IPS |
|
|
Object Detection (SP)
|
100% |
6120
485.4 IPS |
|
|
Object Detection (HP)
|
100% |
6468
513.0 IPS |
|
|
Object Detection (Q)
|
91% |
5539
442.6 IPS |
|
|
Face Detection (SP)
|
100% |
25453
302.4 IPS |
|
|
Face Detection (HP)
|
100% |
25713
305.5 IPS |
|
|
Face Detection (Q)
|
100% |
19001
225.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
29331
226.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
30035
231.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
25792
201.6 IPS |
|
|
Style Transfer (SP)
|
100% |
114583
147.3 IPS |
|
|
Style Transfer (HP)
|
100% |
129030
165.9 IPS |
|
|
Style Transfer (Q)
|
96% |
119847
154.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20346
751.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20986
774.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17358
640.9 IPS |
|
|
Text Classification (SP)
|
100% |
2336
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4045
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
3996
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2143
36.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2014
34.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1999
34.5 IPS |
