Mac Studio
Geekbench AI Score
11081
Single Precision Score
12399
Half Precision Score
11455
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 23 2025 09:41 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4579
851.6 IPS |
|
|
Image Classification (HP)
|
100% |
4600
855.4 IPS |
|
|
Image Classification (Q)
|
96% |
4169
778.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
10167
164.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9988
161.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9574
155.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
47417
55.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
51034
59.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
49041
57.4 IPS |
|
|
Object Detection (SP)
|
100% |
4642
368.2 IPS |
|
|
Object Detection (HP)
|
100% |
5021
398.2 IPS |
|
|
Object Detection (Q)
|
92% |
4589
366.3 IPS |
|
|
Face Detection (SP)
|
100% |
18716
222.4 IPS |
|
|
Face Detection (HP)
|
100% |
18936
225.0 IPS |
|
|
Face Detection (Q)
|
100% |
16399
194.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
23820
183.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
25159
193.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
22876
178.7 IPS |
|
|
Style Transfer (SP)
|
100% |
80117
103.0 IPS |
|
|
Style Transfer (HP)
|
100% |
96800
124.4 IPS |
|
|
Style Transfer (Q)
|
96% |
94298
121.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15709
580.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17147
633.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14651
541.0 IPS |
|
|
Text Classification (SP)
|
100% |
2407
3.21 KIPS |
|
|
Text Classification (HP)
|
99% |
4179
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4114
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2017
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2208
38.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2032
35.1 IPS |
