Mac Studio
Geekbench AI Score
10557
Single Precision Score
11737
Half Precision Score
11103
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | TimPeng |
| Upload Date | August 23 2025 07:00 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
4400
818.2 IPS |
|
|
Image Classification (HP)
|
100% |
4530
842.4 IPS |
|
|
Image Classification (Q)
|
96% |
4253
794.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
10073
163.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9914
160.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9401
152.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
46931
54.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
50444
58.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
48365
56.7 IPS |
|
|
Object Detection (SP)
|
100% |
4530
359.3 IPS |
|
|
Object Detection (HP)
|
100% |
4745
376.4 IPS |
|
|
Object Detection (Q)
|
92% |
4381
349.7 IPS |
|
|
Face Detection (SP)
|
100% |
18080
214.8 IPS |
|
|
Face Detection (HP)
|
100% |
18598
221.0 IPS |
|
|
Face Detection (Q)
|
100% |
15990
190.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
23125
178.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
24228
186.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
22305
174.2 IPS |
|
|
Style Transfer (SP)
|
100% |
79792
102.6 IPS |
|
|
Style Transfer (HP)
|
100% |
95940
123.3 IPS |
|
|
Style Transfer (Q)
|
96% |
93649
120.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15578
575.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16170
597.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14143
522.2 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4103
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4005
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1528
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1610
27.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1777
30.7 IPS |
