Mac Studio
Geekbench AI Score
3768
Single Precision Score
6007
Half Precision Score
4797
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | CircuitSphere |
| Upload Date | March 20 2025 11:12 AM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| 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% |
1384
257.4 IPS |
|
|
Image Classification (HP)
|
100% |
2088
388.3 IPS |
|
|
Image Classification (Q)
|
96% |
1537
287.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1630
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2405
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2673
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10941
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
22006
25.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17678
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
1615
128.1 IPS |
|
|
Object Detection (HP)
|
97% |
2365
188.3 IPS |
|
|
Object Detection (Q)
|
94% |
1771
141.2 IPS |
|
|
Face Detection (SP)
|
100% |
3422
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
5443
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
3154
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5794
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10382
80.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7232
56.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22755
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35536
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27485
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4487
165.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6115
225.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4241
156.6 IPS |
|
|
Text Classification (SP)
|
100% |
2211
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3770
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3734
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3234
55.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5060
87.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5058
87.4 IPS |
