Mac Studio
Geekbench AI Score
10903
Single Precision Score
12250
Half Precision Score
11497
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 12 2025 06:56 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
4558
847.6 IPS |
|
|
Image Classification (HP)
|
100% |
4657
866.0 IPS |
|
|
Image Classification (Q)
|
96% |
4282
799.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
10263
166.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10071
163.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9614
155.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
47476
55.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
51064
59.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
49127
57.5 IPS |
|
|
Object Detection (SP)
|
100% |
4093
324.7 IPS |
|
|
Object Detection (HP)
|
100% |
4954
393.0 IPS |
|
|
Object Detection (Q)
|
92% |
4600
367.2 IPS |
|
|
Face Detection (SP)
|
100% |
18766
223.0 IPS |
|
|
Face Detection (HP)
|
100% |
18952
225.2 IPS |
|
|
Face Detection (Q)
|
100% |
16457
195.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
23961
184.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
24917
192.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
22738
177.6 IPS |
|
|
Style Transfer (SP)
|
100% |
79844
102.6 IPS |
|
|
Style Transfer (HP)
|
100% |
96870
124.5 IPS |
|
|
Style Transfer (Q)
|
96% |
94481
121.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15929
588.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16814
620.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14731
544.0 IPS |
|
|
Text Classification (SP)
|
100% |
2328
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
4104
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4073
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1962
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2032
35.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2045
35.3 IPS |
