Mac Studio
Geekbench AI Score
3751
Single Precision Score
5759
Half Precision Score
4936
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | September 19 2024 07:16 AM |
| Views | 2 |
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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1354
251.9 IPS |
|
|
Image Classification (HP)
|
100% |
2057
382.5 IPS |
|
|
Image Classification (Q)
|
99% |
2056
383.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1626
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2418
39.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
2361
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10998
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
21913
25.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16675
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
1592
126.3 IPS |
|
|
Object Detection (HP)
|
97% |
2354
187.4 IPS |
|
|
Object Detection (Q)
|
94% |
1754
139.8 IPS |
|
|
Face Detection (SP)
|
100% |
3233
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
5433
64.6 IPS |
|
|
Face Detection (Q)
|
100% |
3076
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5896
45.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10714
82.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
11016
85.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22305
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33689
43.3 IPS |
|
|
Style Transfer (Q)
|
100% |
35358
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4371
161.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6103
225.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3978
147.4 IPS |
|
|
Text Classification (SP)
|
100% |
2266
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3844
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3892
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3401
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3405
58.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3266
56.4 IPS |
