Mac Studio
Geekbench AI Score
3689
Single Precision Score
16488
Half Precision Score
16390
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | VincentDupont |
| Upload Date | July 11 2025 09:48 PM |
| Views | 10 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1344
249.9 IPS |
|
|
Image Classification (HP)
|
100% |
6890
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6502
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1530
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9782
158.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10462
169.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11063
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
71141
83.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
65820
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1563
124.0 IPS |
|
|
Object Detection (HP)
|
99% |
7969
633.9 IPS |
|
|
Object Detection (Q)
|
91% |
7519
600.8 IPS |
|
|
Face Detection (SP)
|
100% |
3302
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
16273
193.4 IPS |
|
|
Face Detection (Q)
|
100% |
15201
180.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5767
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
51073
393.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
53945
421.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21936
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
120727
155.2 IPS |
|
|
Style Transfer (Q)
|
96% |
117506
151.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4332
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25980
959.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27982
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3998
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3968
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3191
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3730
64.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3886
67.2 IPS |
