Mac Studio
Geekbench AI Score
3759
Single Precision Score
16402
Half Precision Score
16082
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | LithoChasm |
| Upload Date | March 07 2025 05:03 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1327
246.8 IPS |
|
|
Image Classification (HP)
|
100% |
6866
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6559
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9824
159.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10455
169.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11228
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
70814
82.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
67048
78.6 IPS |
|
|
Object Detection (SP)
|
100% |
1573
124.8 IPS |
|
|
Object Detection (HP)
|
99% |
7938
631.4 IPS |
|
|
Object Detection (Q)
|
91% |
7387
590.3 IPS |
|
|
Face Detection (SP)
|
100% |
3371
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
15979
189.9 IPS |
|
|
Face Detection (Q)
|
100% |
13035
154.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5873
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
51396
396.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
53585
418.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22389
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
121005
155.6 IPS |
|
|
Style Transfer (Q)
|
96% |
116878
150.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4329
159.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25808
953.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27803
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3873
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3890
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3415
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3742
64.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3860
66.7 IPS |
