Mac Studio M1 Max Mac Studio
Geekbench AI Score
3682
Single Precision Score
16492
Half Precision Score
16405
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | enroscado |
| Upload Date | April 29 2025 01:08 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1350
251.0 IPS |
|
|
Image Classification (HP)
|
100% |
6884
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6588
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9810
159.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10447
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11043
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70694
82.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
67235
78.8 IPS |
|
|
Object Detection (SP)
|
100% |
1565
124.2 IPS |
|
|
Object Detection (HP)
|
99% |
7988
635.4 IPS |
|
|
Object Detection (Q)
|
91% |
7486
598.1 IPS |
|
|
Face Detection (SP)
|
100% |
3308
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
16389
194.7 IPS |
|
|
Face Detection (Q)
|
100% |
15239
181.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5755
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
51197
394.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
54020
422.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21892
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
121257
155.9 IPS |
|
|
Style Transfer (Q)
|
96% |
116928
150.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4295
158.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26013
960.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27781
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3930
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3918
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3181
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3754
64.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3891
67.2 IPS |
