Mac Studio
Geekbench AI Score
3724
Single Precision Score
5862
Half Precision Score
4778
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | macrican617 |
| Upload Date | December 15 2024 03:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1347
250.5 IPS |
|
|
Image Classification (HP)
|
100% |
2048
380.9 IPS |
|
|
Image Classification (Q)
|
96% |
1487
277.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1631
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2397
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2698
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10925
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
22220
25.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17143
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
97% |
2369
188.6 IPS |
|
|
Object Detection (Q)
|
94% |
1741
138.8 IPS |
|
|
Face Detection (SP)
|
100% |
3352
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
5433
64.6 IPS |
|
|
Face Detection (Q)
|
100% |
3205
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5996
46.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11006
85.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7467
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22533
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35426
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27537
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3825
141.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6278
231.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3994
147.5 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4023
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4034
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3415
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3468
59.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4887
84.5 IPS |
