Mac Studio
Geekbench AI Score
9368
Single Precision Score
10385
Half Precision Score
8251
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | September 19 2024 07:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
4390
816.3 IPS |
|
|
Image Classification (HP)
|
100% |
4398
817.8 IPS |
|
|
Image Classification (Q)
|
99% |
3842
716.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
8600
139.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8628
139.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
8318
134.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
47239
55.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
49428
57.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
42953
50.3 IPS |
|
|
Object Detection (SP)
|
100% |
3513
278.7 IPS |
|
|
Object Detection (HP)
|
100% |
3759
298.2 IPS |
|
|
Object Detection (Q)
|
91% |
3763
300.7 IPS |
|
|
Face Detection (SP)
|
100% |
12102
143.8 IPS |
|
|
Face Detection (HP)
|
100% |
14613
173.6 IPS |
|
|
Face Detection (Q)
|
100% |
13002
154.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
23173
178.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24116
185.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
5180
40.1 IPS |
|
|
Style Transfer (SP)
|
100% |
80607
103.6 IPS |
|
|
Style Transfer (HP)
|
100% |
95331
122.5 IPS |
|
|
Style Transfer (Q)
|
100% |
93240
119.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15745
581.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15804
583.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11195
414.8 IPS |
|
|
Text Classification (SP)
|
100% |
2268
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3846
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3829
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1030
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1014
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1053
18.2 IPS |
