Mac Studio
Geekbench AI Score
2771
Single Precision Score
4141
Half Precision Score
3636
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | FSSNAG |
| Upload Date | October 28 2024 09:49 PM |
| Views | 8 |
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% |
1285
238.9 IPS |
|
|
Image Classification (HP)
|
100% |
1617
300.6 IPS |
|
|
Image Classification (Q)
|
96% |
1267
236.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1191
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1171
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1689
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5680
6.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13186
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11420
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1389
110.2 IPS |
|
|
Object Detection (HP)
|
97% |
1905
151.6 IPS |
|
|
Object Detection (Q)
|
94% |
1478
117.8 IPS |
|
|
Face Detection (SP)
|
100% |
2626
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
3835
45.6 IPS |
|
|
Face Detection (Q)
|
100% |
2600
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5085
39.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
7935
61.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
6065
47.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14954
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23728
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
20197
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3349
123.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4037
149.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3263
120.5 IPS |
|
|
Text Classification (SP)
|
100% |
2231
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3409
4.55 KIPS |
|
|
Text Classification (Q)
|
93% |
3421
4.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1485
25.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3140
54.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3152
54.5 IPS |
