Mac Studio
Geekbench AI Score
10187
Single Precision Score
9794
Half Precision Score
8938
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | mvarney |
| Upload Date | August 23 2024 05:48 AM |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4578
851.4 IPS |
|
|
Image Classification (HP)
|
100% |
4616
858.4 IPS |
|
|
Image Classification (Q)
|
99% |
3939
734.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
9335
151.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9481
153.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
9061
146.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
55972
65.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
59090
68.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
51395
60.2 IPS |
|
|
Object Detection (SP)
|
100% |
4799
380.6 IPS |
|
|
Object Detection (HP)
|
100% |
5041
399.9 IPS |
|
|
Object Detection (Q)
|
92% |
3905
311.7 IPS |
|
|
Face Detection (SP)
|
100% |
18187
216.1 IPS |
|
|
Face Detection (HP)
|
100% |
18963
225.3 IPS |
|
|
Face Detection (Q)
|
100% |
13120
155.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
25558
196.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
26438
203.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
26439
204.4 IPS |
|
|
Style Transfer (SP)
|
100% |
95188
122.4 IPS |
|
|
Style Transfer (HP)
|
100% |
117643
151.2 IPS |
|
|
Style Transfer (Q)
|
100% |
115615
148.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16620
613.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17273
637.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
12460
461.6 IPS |
|
|
Text Classification (SP)
|
100% |
1239
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
535
714.5 IPS |
|
|
Text Classification (Q)
|
93% |
808
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1151
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1144
19.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1126
19.5 IPS |
