Mac Studio
Geekbench AI Score
3759
Single Precision Score
5798
Half Precision Score
4708
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | LithoChasm |
| Upload Date | March 07 2025 04:59 PM |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1340
249.1 IPS |
|
|
Image Classification (HP)
|
100% |
2036
378.6 IPS |
|
|
Image Classification (Q)
|
96% |
1486
277.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1623
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2338
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2676
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11065
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21893
25.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16714
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
97% |
2354
187.4 IPS |
|
|
Object Detection (Q)
|
94% |
1714
136.6 IPS |
|
|
Face Detection (SP)
|
100% |
3354
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
5118
60.8 IPS |
|
|
Face Detection (Q)
|
100% |
3201
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5868
45.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10799
83.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7383
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22319
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35322
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26308
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4319
159.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6387
235.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4037
149.1 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3905
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3897
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3432
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3599
62.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4808
83.1 IPS |
