Mac Studio
Geekbench AI Score
9961
Single Precision Score
11055
Half Precision Score
9713
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | lagarto16 |
| Upload Date | January 02 2025 05:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
4434
824.6 IPS |
|
|
Image Classification (HP)
|
100% |
4484
833.8 IPS |
|
|
Image Classification (Q)
|
97% |
3732
696.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
8593
139.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8542
138.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8506
137.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
46796
54.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
48291
56.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
44990
52.7 IPS |
|
|
Object Detection (SP)
|
100% |
3822
303.2 IPS |
|
|
Object Detection (HP)
|
100% |
4895
388.3 IPS |
|
|
Object Detection (Q)
|
91% |
4107
328.2 IPS |
|
|
Face Detection (SP)
|
100% |
18591
220.9 IPS |
|
|
Face Detection (HP)
|
100% |
18900
224.6 IPS |
|
|
Face Detection (Q)
|
100% |
13469
160.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
23368
180.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
24063
185.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
20256
158.3 IPS |
|
|
Style Transfer (SP)
|
100% |
78773
101.3 IPS |
|
|
Style Transfer (HP)
|
100% |
93211
119.8 IPS |
|
|
Style Transfer (Q)
|
96% |
87135
112.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15564
574.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15811
583.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12349
456.0 IPS |
|
|
Text Classification (SP)
|
100% |
2269
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3936
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3925
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1168
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1142
19.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1106
19.1 IPS |
