Mac Studio (2023)
Geekbench AI Score
10958
Single Precision Score
11613
Half Precision Score
10435
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | splifingate |
| Upload Date | August 18 2024 12:50 AM |
| Views | 17 |
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% |
5851
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
5976
1.11 KIPS |
|
|
Image Classification (Q)
|
99% |
5336
995.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
11188
181.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11065
179.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
10753
174.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
60705
70.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
63685
74.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
56131
65.8 IPS |
|
|
Object Detection (SP)
|
100% |
5593
443.6 IPS |
|
|
Object Detection (HP)
|
100% |
6010
476.7 IPS |
|
|
Object Detection (Q)
|
92% |
4956
395.6 IPS |
|
|
Face Detection (SP)
|
100% |
21915
260.4 IPS |
|
|
Face Detection (HP)
|
100% |
22385
266.0 IPS |
|
|
Face Detection (Q)
|
100% |
15766
187.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
28401
218.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
28793
221.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
28469
220.1 IPS |
|
|
Style Transfer (SP)
|
100% |
111861
143.8 IPS |
|
|
Style Transfer (HP)
|
100% |
126896
163.1 IPS |
|
|
Style Transfer (Q)
|
100% |
123084
158.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20239
747.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20455
755.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
15318
567.5 IPS |
|
|
Text Classification (SP)
|
100% |
442
589.5 IPS |
|
|
Text Classification (HP)
|
100% |
571
762.1 IPS |
|
|
Text Classification (Q)
|
93% |
557
747.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1804
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1846
31.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2036
35.2 IPS |
