Mac Studio (2023)
Geekbench AI Score
13735
Single Precision Score
14788
Half Precision Score
12837
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | UniqueNameIdentifier |
| Upload Date | September 28 2024 10:34 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
6452
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
6591
1.23 KIPS |
|
|
Image Classification (Q)
|
97% |
5046
941.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
11832
191.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
11672
189.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11353
184.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
61900
72.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
64976
75.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
58843
69.0 IPS |
|
|
Object Detection (SP)
|
100% |
6104
484.2 IPS |
|
|
Object Detection (HP)
|
100% |
6398
507.5 IPS |
|
|
Object Detection (Q)
|
91% |
5269
421.0 IPS |
|
|
Face Detection (SP)
|
100% |
25403
301.8 IPS |
|
|
Face Detection (HP)
|
100% |
24708
293.6 IPS |
|
|
Face Detection (Q)
|
100% |
18086
214.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
29057
223.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
29829
229.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
24546
191.8 IPS |
|
|
Style Transfer (SP)
|
100% |
114246
146.9 IPS |
|
|
Style Transfer (HP)
|
100% |
128157
164.7 IPS |
|
|
Style Transfer (Q)
|
96% |
118111
152.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20172
744.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20882
771.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15840
584.9 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3937
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3919
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2121
36.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2014
34.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2102
36.3 IPS |
