Mac Studio
Geekbench AI Score
9734
Single Precision Score
10793
Half Precision Score
9465
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | pedrom |
| Upload Date | November 12 2024 07:57 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4474
832.1 IPS |
|
|
Image Classification (HP)
|
100% |
4566
849.2 IPS |
|
|
Image Classification (Q)
|
97% |
3674
685.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
8544
138.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8572
139.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8571
138.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
47222
55.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
49318
57.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
45745
53.6 IPS |
|
|
Object Detection (SP)
|
100% |
4053
321.5 IPS |
|
|
Object Detection (HP)
|
100% |
4674
370.8 IPS |
|
|
Object Detection (Q)
|
91% |
4227
337.8 IPS |
|
|
Face Detection (SP)
|
100% |
18078
214.8 IPS |
|
|
Face Detection (HP)
|
100% |
18868
224.2 IPS |
|
|
Face Detection (Q)
|
100% |
13542
160.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
23532
181.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
24242
186.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
20085
157.0 IPS |
|
|
Style Transfer (SP)
|
100% |
79768
102.5 IPS |
|
|
Style Transfer (HP)
|
100% |
94611
121.6 IPS |
|
|
Style Transfer (Q)
|
96% |
88832
114.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15754
581.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15528
573.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12327
455.2 IPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3958
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3963
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
856
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
894
15.4 IPS |
|
|
Machine Translation (Q)
|
98% |
803
13.9 IPS |
