Mac Studio
Geekbench AI Score
2781
Single Precision Score
4198
Half Precision Score
3665
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | vinebeat |
| Upload Date | September 06 2024 10:48 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1280
237.9 IPS |
|
|
Image Classification (HP)
|
100% |
1602
298.0 IPS |
|
|
Image Classification (Q)
|
96% |
1270
237.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1194
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1184
19.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1691
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5664
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
13157
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11391
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1372
108.8 IPS |
|
|
Object Detection (HP)
|
97% |
1896
150.9 IPS |
|
|
Object Detection (Q)
|
94% |
1473
117.4 IPS |
|
|
Face Detection (SP)
|
100% |
2667
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
4024
47.8 IPS |
|
|
Face Detection (Q)
|
100% |
2592
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5062
39.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
7919
61.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
6055
47.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14776
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23696
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
20182
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3339
123.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4170
154.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3313
122.3 IPS |
|
|
Text Classification (SP)
|
100% |
2233
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3598
4.80 KIPS |
|
|
Text Classification (Q)
|
93% |
3601
4.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1572
27.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3178
54.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3219
55.6 IPS |
