Mac Studio
Geekbench AI Score
12186
Single Precision Score
13531
Half Precision Score
12705
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | tobyg |
| Upload Date | August 04 2025 08:02 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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% |
4984
926.9 IPS |
|
|
Image Classification (HP)
|
100% |
5105
949.4 IPS |
|
|
Image Classification (Q)
|
96% |
4666
871.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
11622
188.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12033
195.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11505
186.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
57150
66.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
62559
73.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
59863
70.1 IPS |
|
|
Object Detection (SP)
|
100% |
5122
406.3 IPS |
|
|
Object Detection (HP)
|
100% |
5298
420.3 IPS |
|
|
Object Detection (Q)
|
92% |
4960
395.9 IPS |
|
|
Face Detection (SP)
|
100% |
21459
255.0 IPS |
|
|
Face Detection (HP)
|
100% |
22164
263.4 IPS |
|
|
Face Detection (Q)
|
100% |
18885
224.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
26092
201.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
27644
213.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
25590
199.9 IPS |
|
|
Style Transfer (SP)
|
100% |
96519
124.1 IPS |
|
|
Style Transfer (HP)
|
100% |
121508
156.2 IPS |
|
|
Style Transfer (Q)
|
96% |
118796
153.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16898
624.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17485
645.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15375
567.7 IPS |
|
|
Text Classification (SP)
|
100% |
2274
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3896
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3913
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2051
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1993
34.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1991
34.4 IPS |
