Mac Studio (2023)
Geekbench AI Score
11501
Single Precision Score
11916
Half Precision Score
3738
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | stanleyruppert |
| Upload Date | September 11 2024 02:49 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5880
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
5898
1.10 KIPS |
|
|
Image Classification (Q)
|
97% |
4547
848.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
11243
182.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11048
179.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10644
172.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
60803
70.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
63428
74.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
56589
66.3 IPS |
|
|
Object Detection (SP)
|
100% |
5699
452.1 IPS |
|
|
Object Detection (HP)
|
100% |
5914
469.1 IPS |
|
|
Object Detection (Q)
|
92% |
4890
390.3 IPS |
|
|
Face Detection (SP)
|
100% |
21700
257.8 IPS |
|
|
Face Detection (HP)
|
100% |
22293
264.9 IPS |
|
|
Face Detection (Q)
|
100% |
15781
187.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
28345
218.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
28798
221.9 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
188.5 IPS |
|
|
Style Transfer (SP)
|
100% |
112273
144.3 IPS |
|
|
Style Transfer (HP)
|
100% |
125853
161.8 IPS |
|
|
Style Transfer (Q)
|
96% |
116185
149.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20050
740.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20565
759.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15461
570.9 IPS |
|
|
Text Classification (SP)
|
100% |
613
817.6 IPS |
|
|
Text Classification (HP)
|
100% |
657
877.2 IPS |
|
|
Text Classification (Q)
|
93% |
653
876.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2083
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2164
37.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2149
37.1 IPS |
