Mac Studio
Geekbench AI Score
9480
Single Precision Score
9619
Half Precision Score
8560
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | beebopkim |
| Upload Date | August 18 2024 11:40 AM |
| Views | 11 |
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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4577
851.3 IPS |
|
|
Image Classification (HP)
|
100% |
4656
865.8 IPS |
|
|
Image Classification (Q)
|
99% |
3966
739.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
9232
149.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9550
154.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
9053
146.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
55986
65.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
58899
68.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
51544
60.4 IPS |
|
|
Object Detection (SP)
|
100% |
4061
322.1 IPS |
|
|
Object Detection (HP)
|
100% |
4674
370.7 IPS |
|
|
Object Detection (Q)
|
92% |
3840
306.5 IPS |
|
|
Face Detection (SP)
|
100% |
17049
202.6 IPS |
|
|
Face Detection (HP)
|
100% |
16440
195.3 IPS |
|
|
Face Detection (Q)
|
100% |
13149
156.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
25775
198.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
26677
205.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
26453
204.5 IPS |
|
|
Style Transfer (SP)
|
100% |
94905
122.0 IPS |
|
|
Style Transfer (HP)
|
100% |
118149
151.9 IPS |
|
|
Style Transfer (Q)
|
100% |
115946
149.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16715
617.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17243
636.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
12538
464.5 IPS |
|
|
Text Classification (SP)
|
100% |
787
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
562
750.0 IPS |
|
|
Text Classification (Q)
|
93% |
534
717.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1113
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1104
19.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1101
19.0 IPS |
