Mac Studio
Geekbench AI Score
2784
Single Precision Score
4196
Half Precision Score
3516
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | DragonLand |
| Upload Date | August 15 2024 06:35 PM |
| Views | 14 |
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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1276
237.2 IPS |
|
|
Image Classification (HP)
|
100% |
1613
299.9 IPS |
|
|
Image Classification (Q)
|
99% |
1612
300.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1206
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1194
19.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
1190
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5651
6.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
13127
15.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11251
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1384
109.8 IPS |
|
|
Object Detection (HP)
|
97% |
1899
151.2 IPS |
|
|
Object Detection (Q)
|
94% |
1477
117.7 IPS |
|
|
Face Detection (SP)
|
100% |
2670
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
3927
46.7 IPS |
|
|
Face Detection (Q)
|
100% |
2576
30.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5064
39.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
7890
61.0 IPS |
|
|
Depth Estimation (Q)
|
96% |
4054
31.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14730
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23609
30.3 IPS |
|
|
Style Transfer (Q)
|
100% |
23589
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3302
121.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4186
154.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3242
120.1 IPS |
|
|
Text Classification (SP)
|
100% |
2241
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3602
4.81 KIPS |
|
|
Text Classification (Q)
|
93% |
3550
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1582
27.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3201
55.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3201
55.3 IPS |
