Mac Studio (2023)
Geekbench AI Score
16484
Single Precision Score
18444
Half Precision Score
17323
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | edsonchan |
| Upload Date | May 10 2025 04:26 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
6941
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
7206
1.34 KIPS |
|
|
Image Classification (Q)
|
96% |
6707
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15924
258.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15716
254.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
14973
242.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
82602
96.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
89450
104.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
86644
101.5 IPS |
|
|
Object Detection (SP)
|
100% |
6425
509.7 IPS |
|
|
Object Detection (HP)
|
100% |
6785
538.2 IPS |
|
|
Object Detection (Q)
|
92% |
6202
495.1 IPS |
|
|
Face Detection (SP)
|
100% |
28026
333.0 IPS |
|
|
Face Detection (HP)
|
100% |
28882
343.2 IPS |
|
|
Face Detection (Q)
|
100% |
25251
300.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
32998
254.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
34707
267.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
31920
249.3 IPS |
|
|
Style Transfer (SP)
|
100% |
135617
174.3 IPS |
|
|
Style Transfer (HP)
|
100% |
155572
200.0 IPS |
|
|
Style Transfer (Q)
|
96% |
151464
195.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20516
757.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24442
902.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21419
790.9 IPS |
|
|
Text Classification (SP)
|
100% |
2431
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4229
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4191
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4038
69.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4114
70.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4116
71.1 IPS |
