Mac Studio
Geekbench AI Score
1993
Single Precision Score
12852
Half Precision Score
13236
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Auhim |
| Upload Date | August 15 2024 09:49 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
978
182.0 IPS |
|
|
Image Classification (HP)
|
100% |
7351
1.37 KIPS |
|
|
Image Classification (Q)
|
99% |
7750
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3874
62.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
3886
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10105
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
69815
81.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
64466
75.6 IPS |
|
|
Object Detection (SP)
|
100% |
1132
89.8 IPS |
|
|
Object Detection (HP)
|
99% |
7749
616.4 IPS |
|
|
Object Detection (Q)
|
93% |
7247
578.3 IPS |
|
|
Face Detection (SP)
|
100% |
1961
23.3 IPS |
|
|
Face Detection (HP)
|
100% |
11566
137.4 IPS |
|
|
Face Detection (Q)
|
100% |
12342
146.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3506
27.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
46652
359.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
49930
386.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12442
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
118291
152.1 IPS |
|
|
Style Transfer (Q)
|
100% |
123860
159.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2697
99.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18976
700.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
23528
871.7 IPS |
|
|
Text Classification (SP)
|
100% |
390
520.8 IPS |
|
|
Text Classification (HP)
|
100% |
3432
4.58 KIPS |
|
|
Text Classification (Q)
|
93% |
3415
4.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1448
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1920
33.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1914
33.1 IPS |
