Mac Studio
Geekbench AI Score
10899
Single Precision Score
12045
Half Precision Score
11216
Quantized Score
Geekbench AI 1.4.0-Beta1 for macOS AArch64
Result Information
| User | k_ellis |
| Upload Date | June 05 2025 03:43 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
4399
818.2 IPS |
|
|
Image Classification (HP)
|
100% |
4421
822.2 IPS |
|
|
Image Classification (Q)
|
96% |
4061
758.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
10094
163.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10100
163.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9478
153.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
47382
55.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
51068
59.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
49141
57.6 IPS |
|
|
Object Detection (SP)
|
100% |
4626
366.9 IPS |
|
|
Object Detection (HP)
|
100% |
4954
393.0 IPS |
|
|
Object Detection (Q)
|
92% |
4620
368.7 IPS |
|
|
Face Detection (SP)
|
100% |
17853
212.1 IPS |
|
|
Face Detection (HP)
|
100% |
18774
223.1 IPS |
|
|
Face Detection (Q)
|
100% |
15837
188.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
23900
184.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
24686
190.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
22725
177.5 IPS |
|
|
Style Transfer (SP)
|
100% |
80084
102.9 IPS |
|
|
Style Transfer (HP)
|
100% |
96417
123.9 IPS |
|
|
Style Transfer (Q)
|
96% |
94411
121.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16030
591.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16681
616.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14740
544.3 IPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4059
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4047
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1932
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1882
32.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1780
30.8 IPS |
