Mac Studio
Geekbench AI Score
1825
Single Precision Score
12894
Half Precision Score
10509
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | vinebeat |
| Upload Date | September 06 2024 10:36 AM |
| Views | 17 |
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 | 3.18 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
907
168.7 IPS |
|
|
Image Classification (HP)
|
100% |
7493
1.39 KIPS |
|
|
Image Classification (Q)
|
96% |
6725
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
676
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3875
62.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
480
7.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
9597
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
69788
81.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
66812
78.3 IPS |
|
|
Object Detection (SP)
|
100% |
907
72.0 IPS |
|
|
Object Detection (HP)
|
99% |
7627
606.7 IPS |
|
|
Object Detection (Q)
|
93% |
7295
582.1 IPS |
|
|
Face Detection (SP)
|
100% |
1863
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
11103
131.9 IPS |
|
|
Face Detection (Q)
|
100% |
10133
120.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3453
26.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
46786
360.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
55498
433.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12135
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
118058
151.8 IPS |
|
|
Style Transfer (Q)
|
96% |
114982
148.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2367
87.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18918
698.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23637
872.8 IPS |
|
|
Text Classification (SP)
|
100% |
296
394.6 IPS |
|
|
Text Classification (HP)
|
100% |
3677
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3555
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1408
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1927
33.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1922
33.2 IPS |
