Mac Studio
Geekbench AI Score
11122
Single Precision Score
12246
Half Precision Score
10612
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | robinjp |
| Upload Date | November 11 2024 11:23 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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% |
5163
960.2 IPS |
|
|
Image Classification (HP)
|
100% |
5070
942.8 IPS |
|
|
Image Classification (Q)
|
97% |
3818
712.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
10100
163.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10326
167.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9967
161.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
56639
66.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
60253
70.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
54253
63.6 IPS |
|
|
Object Detection (SP)
|
100% |
4529
359.2 IPS |
|
|
Object Detection (HP)
|
100% |
4568
362.4 IPS |
|
|
Object Detection (Q)
|
91% |
4126
329.7 IPS |
|
|
Face Detection (SP)
|
100% |
20901
248.4 IPS |
|
|
Face Detection (HP)
|
100% |
22454
266.8 IPS |
|
|
Face Detection (Q)
|
100% |
15302
181.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
26159
201.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
27689
213.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
21683
169.5 IPS |
|
|
Style Transfer (SP)
|
100% |
96557
124.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120176
154.5 IPS |
|
|
Style Transfer (Q)
|
96% |
110083
142.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16923
624.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16997
627.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12796
472.5 IPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4015
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4037
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1055
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1033
17.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1127
19.5 IPS |
