Mac Studio
Geekbench AI Score
11005
Single Precision Score
12150
Half Precision Score
11399
Quantized Score
Geekbench AI 1.4.0-Beta1 for macOS AArch64
Result Information
| User | k_ellis |
| Upload Date | June 05 2025 02:08 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% |
4505
837.8 IPS |
|
|
Image Classification (HP)
|
100% |
4701
874.3 IPS |
|
|
Image Classification (Q)
|
96% |
4277
798.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
10129
164.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10035
162.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9559
155.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
47250
55.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
51039
59.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
48871
57.2 IPS |
|
|
Object Detection (SP)
|
100% |
4684
371.5 IPS |
|
|
Object Detection (HP)
|
100% |
5040
399.8 IPS |
|
|
Object Detection (Q)
|
92% |
4653
371.4 IPS |
|
|
Face Detection (SP)
|
100% |
17637
209.6 IPS |
|
|
Face Detection (HP)
|
100% |
17984
213.7 IPS |
|
|
Face Detection (Q)
|
100% |
16436
195.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
23702
182.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
24808
191.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
22774
177.9 IPS |
|
|
Style Transfer (SP)
|
100% |
80096
103.0 IPS |
|
|
Style Transfer (HP)
|
100% |
96539
124.1 IPS |
|
|
Style Transfer (Q)
|
96% |
94403
121.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15887
586.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16356
604.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14830
547.6 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4034
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4007
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2107
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2034
35.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1899
32.8 IPS |
