Mac Studio
Geekbench AI Score
2756
Single Precision Score
4173
Half Precision Score
3654
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | FSSNAG |
| Upload Date | October 28 2024 09:57 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.7 (Build 23H124) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1284
238.8 IPS |
|
|
Image Classification (HP)
|
100% |
1608
299.0 IPS |
|
|
Image Classification (Q)
|
96% |
1267
236.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1190
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1179
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1691
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5682
6.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13162
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11395
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1385
109.9 IPS |
|
|
Object Detection (HP)
|
97% |
1898
151.1 IPS |
|
|
Object Detection (Q)
|
94% |
1476
117.6 IPS |
|
|
Face Detection (SP)
|
100% |
2595
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
3825
45.4 IPS |
|
|
Face Detection (Q)
|
100% |
2587
30.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5071
39.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
7933
61.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
6066
47.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14790
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23731
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
20146
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3337
123.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4117
152.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3259
120.3 IPS |
|
|
Text Classification (SP)
|
100% |
2230
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3597
4.80 KIPS |
|
|
Text Classification (Q)
|
93% |
3617
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1455
25.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3172
54.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3167
54.7 IPS |
