Mac Studio
Geekbench AI Score
3753
Single Precision Score
5788
Half Precision Score
4758
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | SojW |
| Upload Date | January 27 2025 01:04 PM |
| Views | 5 |
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% |
1327
246.8 IPS |
|
|
Image Classification (HP)
|
100% |
2046
380.6 IPS |
|
|
Image Classification (Q)
|
96% |
1498
279.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1607
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2306
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2684
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11057
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22000
25.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17140
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.6 IPS |
|
|
Object Detection (HP)
|
97% |
2403
191.3 IPS |
|
|
Object Detection (Q)
|
94% |
1736
138.4 IPS |
|
|
Face Detection (SP)
|
100% |
3339
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
5230
62.1 IPS |
|
|
Face Detection (Q)
|
100% |
3193
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5865
45.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10903
84.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7402
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22283
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35060
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27350
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4339
160.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6218
229.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4073
150.4 IPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3921
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3963
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3418
58.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3476
60.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4773
82.5 IPS |
