Mac Studio
Geekbench AI Score
10534
Single Precision Score
10523
Half Precision Score
9202
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Auhim |
| Upload Date | August 15 2024 09:37 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4926
916.1 IPS |
|
|
Image Classification (HP)
|
100% |
5000
929.8 IPS |
|
|
Image Classification (Q)
|
99% |
4264
795.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
9620
155.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9895
160.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
9463
153.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
56773
66.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
59784
69.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
52834
61.9 IPS |
|
|
Object Detection (SP)
|
100% |
5109
405.3 IPS |
|
|
Object Detection (HP)
|
100% |
5306
420.8 IPS |
|
|
Object Detection (Q)
|
92% |
4144
330.8 IPS |
|
|
Face Detection (SP)
|
100% |
18635
221.4 IPS |
|
|
Face Detection (HP)
|
100% |
19329
229.7 IPS |
|
|
Face Detection (Q)
|
100% |
13603
161.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
27033
208.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
27733
213.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
27698
214.2 IPS |
|
|
Style Transfer (SP)
|
100% |
96893
124.6 IPS |
|
|
Style Transfer (HP)
|
100% |
120653
155.1 IPS |
|
|
Style Transfer (Q)
|
100% |
118417
152.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17569
648.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18213
672.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13265
491.4 IPS |
|
|
Text Classification (SP)
|
100% |
1129
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
712
949.9 IPS |
|
|
Text Classification (Q)
|
93% |
689
924.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1265
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1266
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1209
20.9 IPS |
