Mac Studio
Geekbench AI Score
3695
Single Precision Score
5665
Half Precision Score
4849
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | pofrug |
| Upload Date | September 26 2024 10:56 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1324
246.2 IPS |
|
|
Image Classification (HP)
|
100% |
2027
376.9 IPS |
|
|
Image Classification (Q)
|
99% |
2024
377.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1605
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
2362
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10981
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
21808
25.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
16882
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
1534
121.7 IPS |
|
|
Object Detection (HP)
|
97% |
2353
187.3 IPS |
|
|
Object Detection (Q)
|
94% |
1620
129.1 IPS |
|
|
Face Detection (SP)
|
100% |
3340
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
4990
59.3 IPS |
|
|
Face Detection (Q)
|
100% |
3134
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5760
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10796
83.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
10028
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22425
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33820
43.5 IPS |
|
|
Style Transfer (Q)
|
100% |
35233
45.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4289
158.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6094
225.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3892
144.2 IPS |
|
|
Text Classification (SP)
|
100% |
2107
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3773
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3996
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3401
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3317
57.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3193
55.2 IPS |
