Mac Studio
Geekbench AI Score
3804
Single Precision Score
5862
Half Precision Score
4779
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Mojoxer |
| Upload Date | November 17 2024 04:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1358
252.6 IPS |
|
|
Image Classification (HP)
|
100% |
2055
382.2 IPS |
|
|
Image Classification (Q)
|
96% |
1490
278.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1657
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2392
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2698
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11041
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21820
25.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16670
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
1592
126.3 IPS |
|
|
Object Detection (HP)
|
97% |
2368
188.5 IPS |
|
|
Object Detection (Q)
|
94% |
1750
139.5 IPS |
|
|
Face Detection (SP)
|
100% |
3381
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
5277
62.7 IPS |
|
|
Face Detection (Q)
|
100% |
3197
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5932
45.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10944
84.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7529
58.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22494
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35120
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27401
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4405
162.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6355
234.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4061
149.9 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4004
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3998
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3505
60.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3658
63.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4952
85.6 IPS |
