Mac Studio
Geekbench AI Score
3735
Single Precision Score
15500
Half Precision Score
15905
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | over_time_ |
| Upload Date | May 24 2025 05:45 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1353
251.7 IPS |
|
|
Image Classification (HP)
|
100% |
7089
1.32 KIPS |
|
|
Image Classification (Q)
|
99% |
7376
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1601
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8215
133.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
8220
133.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11137
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
69259
80.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
66485
78.0 IPS |
|
|
Object Detection (SP)
|
100% |
1573
124.8 IPS |
|
|
Object Detection (HP)
|
99% |
7561
601.4 IPS |
|
|
Object Detection (Q)
|
91% |
7595
606.9 IPS |
|
|
Face Detection (SP)
|
100% |
3342
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
12198
144.9 IPS |
|
|
Face Detection (Q)
|
100% |
12758
151.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5800
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
46459
357.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
49518
382.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22121
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
117588
151.2 IPS |
|
|
Style Transfer (Q)
|
100% |
123609
158.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4389
162.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26029
961.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27757
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4031
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4007
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3215
55.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3756
64.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3896
67.3 IPS |
