Mac Studio
Geekbench AI Score
3871
Single Precision Score
16697
Half Precision Score
16550
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | CircuitSphere |
| Upload Date | January 29 2025 12:50 AM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
1361
253.1 IPS |
|
|
Image Classification (HP)
|
100% |
7035
1.31 KIPS |
|
|
Image Classification (Q)
|
96% |
6692
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1654
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9856
159.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10459
169.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11165
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
72397
84.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
68196
79.9 IPS |
|
|
Object Detection (SP)
|
100% |
1643
130.3 IPS |
|
|
Object Detection (HP)
|
99% |
8139
647.5 IPS |
|
|
Object Detection (Q)
|
91% |
7631
609.7 IPS |
|
|
Face Detection (SP)
|
100% |
3416
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
15804
187.8 IPS |
|
|
Face Detection (Q)
|
100% |
14856
176.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6117
47.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
53134
409.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
54897
429.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23195
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
122561
157.6 IPS |
|
|
Style Transfer (Q)
|
96% |
118282
152.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4572
168.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26821
990.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28456
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4021
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3996
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3577
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3715
64.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3859
66.7 IPS |
