Mac Studio
Geekbench AI Score
3710
Single Precision Score
16614
Half Precision Score
16513
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | dzappone |
| Upload Date | May 01 2025 09:53 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
1346
250.4 IPS |
|
|
Image Classification (HP)
|
100% |
6935
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6669
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1571
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9793
158.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10446
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11149
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
71208
83.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66524
78.0 IPS |
|
|
Object Detection (SP)
|
100% |
1570
124.5 IPS |
|
|
Object Detection (HP)
|
99% |
8090
643.6 IPS |
|
|
Object Detection (Q)
|
91% |
7568
604.7 IPS |
|
|
Face Detection (SP)
|
100% |
3221
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
16444
195.4 IPS |
|
|
Face Detection (Q)
|
100% |
15418
183.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5837
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
51710
398.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
54348
424.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22031
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
121247
155.9 IPS |
|
|
Style Transfer (Q)
|
96% |
117014
151.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4386
161.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26073
962.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28046
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4083
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4056
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3199
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3733
64.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3854
66.6 IPS |
