Mac Studio (M1 Max, 2022) Mac Studio
Geekbench AI Score
9928
Single Precision Score
10961
Half Precision Score
9808
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | skyzyx |
| Upload Date | November 09 2024 08:58 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5057p) |
| 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% |
4433
824.4 IPS |
|
|
Image Classification (HP)
|
100% |
4645
863.8 IPS |
|
|
Image Classification (Q)
|
97% |
3868
721.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
8725
141.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8607
139.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8701
141.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
47285
55.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
49225
57.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
45590
53.4 IPS |
|
|
Object Detection (SP)
|
100% |
4199
333.0 IPS |
|
|
Object Detection (HP)
|
100% |
4470
354.6 IPS |
|
|
Object Detection (Q)
|
91% |
4260
340.4 IPS |
|
|
Face Detection (SP)
|
100% |
17217
204.6 IPS |
|
|
Face Detection (HP)
|
100% |
18220
216.5 IPS |
|
|
Face Detection (Q)
|
100% |
13534
160.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
23509
181.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
24808
191.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
20793
162.5 IPS |
|
|
Style Transfer (SP)
|
100% |
79858
102.7 IPS |
|
|
Style Transfer (HP)
|
100% |
93907
120.7 IPS |
|
|
Style Transfer (Q)
|
96% |
88850
114.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15692
579.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15991
590.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12665
467.7 IPS |
|
|
Text Classification (SP)
|
100% |
2255
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3854
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3782
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1060
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1088
18.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1053
18.2 IPS |
