Mac Studio
Geekbench AI Score
2772
Single Precision Score
4199
Half Precision Score
3473
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | MacHammerFan |
| Upload Date | August 15 2024 05:06 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1272
236.5 IPS |
|
|
Image Classification (HP)
|
100% |
1603
298.1 IPS |
|
|
Image Classification (Q)
|
99% |
1607
299.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1188
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1199
19.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
1185
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5638
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
13136
15.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11208
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1375
109.1 IPS |
|
|
Object Detection (HP)
|
97% |
1896
150.9 IPS |
|
|
Object Detection (Q)
|
94% |
1485
118.4 IPS |
|
|
Face Detection (SP)
|
100% |
2660
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
4060
48.2 IPS |
|
|
Face Detection (Q)
|
100% |
2655
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5071
39.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7868
60.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
3563
27.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14753
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23632
30.4 IPS |
|
|
Style Transfer (Q)
|
100% |
23817
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3301
121.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4103
151.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3207
118.8 IPS |
|
|
Text Classification (SP)
|
100% |
2219
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3574
4.77 KIPS |
|
|
Text Classification (Q)
|
93% |
3539
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1573
27.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3218
55.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3151
54.5 IPS |
