Mac Studio
Geekbench AI Score
3759
Single Precision Score
15621
Half Precision Score
15567
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | SojW |
| Upload Date | January 27 2025 01:02 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1344
249.9 IPS |
|
|
Image Classification (HP)
|
100% |
6414
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6227
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1589
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9444
153.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10052
162.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11201
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
70470
82.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
66477
77.9 IPS |
|
|
Object Detection (SP)
|
100% |
1591
126.2 IPS |
|
|
Object Detection (HP)
|
99% |
7488
595.7 IPS |
|
|
Object Detection (Q)
|
91% |
7023
561.2 IPS |
|
|
Face Detection (SP)
|
100% |
3287
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
13632
162.0 IPS |
|
|
Face Detection (Q)
|
100% |
12897
153.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6023
46.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
50171
386.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
52607
411.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22359
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
119880
154.1 IPS |
|
|
Style Transfer (Q)
|
96% |
115819
149.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4343
160.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25879
955.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28031
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2270
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3876
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3867
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3392
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3293
56.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3359
58.1 IPS |
