Mac Studio (2023)
Geekbench AI Score
4362
Single Precision Score
7108
Half Precision Score
5553
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tokris |
| Upload Date | February 15 2025 05:37 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1480
275.3 IPS |
|
|
Image Classification (HP)
|
100% |
2368
440.4 IPS |
|
|
Image Classification (Q)
|
96% |
1731
323.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1815
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2801
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3129
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13079
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
26020
30.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
20209
23.7 IPS |
|
|
Object Detection (SP)
|
100% |
1802
142.9 IPS |
|
|
Object Detection (HP)
|
97% |
2944
234.4 IPS |
|
|
Object Detection (Q)
|
94% |
2069
164.9 IPS |
|
|
Face Detection (SP)
|
100% |
3759
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
6168
73.3 IPS |
|
|
Face Detection (Q)
|
100% |
3550
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6490
50.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12635
97.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8421
65.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26476
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
41016
52.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32063
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5452
201.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7477
276.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4743
175.1 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4019
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3994
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4860
83.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6747
116.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6787
117.3 IPS |
