Mac Studio
Geekbench AI Score
9788
Single Precision Score
10659
Half Precision Score
9556
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 16 2025 04:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5040f) |
| 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% |
4428
823.5 IPS |
|
|
Image Classification (HP)
|
100% |
4591
853.8 IPS |
|
|
Image Classification (Q)
|
97% |
3759
701.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
8783
142.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8576
139.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8686
140.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
47365
55.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
49641
57.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
45827
53.7 IPS |
|
|
Object Detection (SP)
|
100% |
3916
310.6 IPS |
|
|
Object Detection (HP)
|
100% |
4108
325.8 IPS |
|
|
Object Detection (Q)
|
91% |
4011
320.5 IPS |
|
|
Face Detection (SP)
|
100% |
17980
213.6 IPS |
|
|
Face Detection (HP)
|
100% |
17653
209.8 IPS |
|
|
Face Detection (Q)
|
100% |
13326
158.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
23629
182.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
24822
191.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
20997
164.1 IPS |
|
|
Style Transfer (SP)
|
100% |
79760
102.5 IPS |
|
|
Style Transfer (HP)
|
100% |
94821
121.9 IPS |
|
|
Style Transfer (Q)
|
96% |
89271
115.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15658
578.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16085
593.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12878
475.5 IPS |
|
|
Text Classification (SP)
|
100% |
2247
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3852
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3790
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
939
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
916
15.8 IPS |
|
|
Machine Translation (Q)
|
98% |
868
15.0 IPS |
