Mac Studio (2023)
Geekbench AI Score
3111
Single Precision Score
4618
Half Precision Score
3938
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | 6liter |
| Upload Date | August 23 2025 06:41 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6 (Build 23G80) |
| 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 | 3.43 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1412
262.5 IPS |
|
|
Image Classification (HP)
|
100% |
1772
329.6 IPS |
|
|
Image Classification (Q)
|
96% |
1350
252.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1313
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1231
20.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1725
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5796
6.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
13057
15.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11842
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1457
115.6 IPS |
|
|
Object Detection (HP)
|
97% |
2137
170.2 IPS |
|
|
Object Detection (Q)
|
94% |
1611
128.4 IPS |
|
|
Face Detection (SP)
|
100% |
3018
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
4436
52.7 IPS |
|
|
Face Detection (Q)
|
100% |
2727
32.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5329
41.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
8173
63.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
6235
48.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16485
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26129
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21736
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3715
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4832
178.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3436
126.9 IPS |
|
|
Text Classification (SP)
|
100% |
2310
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3604
4.81 KIPS |
|
|
Text Classification (Q)
|
93% |
3567
4.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2390
41.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4394
75.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4458
77.0 IPS |
