Mac Studio
Geekbench AI Score
3749
Single Precision Score
5835
Half Precision Score
4942
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | MacHammerFan |
| Upload Date | October 31 2024 08:45 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1333
248.0 IPS |
|
|
Image Classification (HP)
|
100% |
2031
377.8 IPS |
|
|
Image Classification (Q)
|
99% |
2024
377.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1611
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2331
37.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
2335
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11150
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22592
26.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
16584
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
1575
125.0 IPS |
|
|
Object Detection (HP)
|
97% |
2344
186.6 IPS |
|
|
Object Detection (Q)
|
94% |
1719
137.0 IPS |
|
|
Face Detection (SP)
|
100% |
3320
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
5402
64.2 IPS |
|
|
Face Detection (Q)
|
100% |
3172
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5867
45.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11016
85.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
10639
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22330
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35487
45.6 IPS |
|
|
Style Transfer (Q)
|
100% |
34210
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4330
159.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6186
228.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3952
146.4 IPS |
|
|
Text Classification (SP)
|
100% |
2274
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3941
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3868
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3401
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3549
61.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3656
63.2 IPS |
