Mac Studio (2023)
Geekbench AI Score
2263
Single Precision Score
15226
Half Precision Score
16330
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | ZBOYDMARK |
| Upload Date | August 24 2024 11:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.67 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1105
205.5 IPS |
|
|
Image Classification (HP)
|
100% |
8052
1.50 KIPS |
|
|
Image Classification (Q)
|
99% |
8635
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
783
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5147
83.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
5172
83.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11195
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
93022
108.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
89105
104.5 IPS |
|
|
Object Detection (SP)
|
100% |
1230
97.6 IPS |
|
|
Object Detection (HP)
|
99% |
9671
769.3 IPS |
|
|
Object Detection (Q)
|
93% |
10610
846.6 IPS |
|
|
Face Detection (SP)
|
100% |
2174
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
11926
141.7 IPS |
|
|
Face Detection (Q)
|
100% |
13984
166.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3899
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
57400
442.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
61598
476.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13404
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
147551
189.7 IPS |
|
|
Style Transfer (Q)
|
100% |
148513
190.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2664
98.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20971
774.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27855
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
509
679.0 IPS |
|
|
Text Classification (HP)
|
100% |
4076
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4317
5.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1924
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2081
35.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2077
35.9 IPS |
