Mac Studio
Geekbench AI Score
3779
Single Precision Score
5811
Half Precision Score
4800
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | DJENT |
| Upload Date | March 12 2025 01:00 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | Mac Studio |
| Model ID | Mac13,1 |
| Motherboard | Mac13,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1351
251.2 IPS |
|
|
Image Classification (HP)
|
100% |
2045
380.3 IPS |
|
|
Image Classification (Q)
|
96% |
1499
279.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1646
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2407
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2699
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11049
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22314
26.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17372
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
97% |
2366
188.4 IPS |
|
|
Object Detection (Q)
|
94% |
1754
139.8 IPS |
|
|
Face Detection (SP)
|
100% |
3234
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
5131
61.0 IPS |
|
|
Face Detection (Q)
|
100% |
3206
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6014
46.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11052
85.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7498
58.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22299
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35592
45.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27664
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4379
161.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6350
234.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4062
150.0 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4047
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4040
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3490
60.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3258
56.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4834
83.5 IPS |
