Mac Studio
Geekbench AI Score
9187
Single Precision Score
8538
Half Precision Score
7622
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | groosheck |
| Upload Date | August 15 2024 05:37 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3980
740.2 IPS |
|
|
Image Classification (HP)
|
100% |
4101
762.6 IPS |
|
|
Image Classification (Q)
|
99% |
3598
671.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
8025
130.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7967
129.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
7645
123.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
46641
54.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
48598
56.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
42485
49.8 IPS |
|
|
Object Detection (SP)
|
100% |
4349
345.0 IPS |
|
|
Object Detection (HP)
|
100% |
4575
362.9 IPS |
|
|
Object Detection (Q)
|
92% |
3490
278.6 IPS |
|
|
Face Detection (SP)
|
100% |
15793
187.7 IPS |
|
|
Face Detection (HP)
|
100% |
16150
191.9 IPS |
|
|
Face Detection (Q)
|
100% |
11281
134.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
23873
183.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
23770
183.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
23561
182.2 IPS |
|
|
Style Transfer (SP)
|
100% |
79015
101.6 IPS |
|
|
Style Transfer (HP)
|
100% |
93107
119.7 IPS |
|
|
Style Transfer (Q)
|
100% |
87051
111.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15555
574.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16028
591.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11569
428.6 IPS |
|
|
Text Classification (SP)
|
100% |
1226
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
424
565.4 IPS |
|
|
Text Classification (Q)
|
93% |
562
754.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1164
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1167
20.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1079
18.6 IPS |
