Mac Studio
Geekbench AI Score
10997
Single Precision Score
12288
Half Precision Score
11432
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Egon2016 |
| Upload Date | August 06 2025 12:44 PM |
| Views | 7 |
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% |
4544
845.1 IPS |
|
|
Image Classification (HP)
|
100% |
4716
877.0 IPS |
|
|
Image Classification (Q)
|
96% |
4203
784.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
10120
164.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9904
160.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9504
154.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
47449
55.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
51026
59.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
48992
57.4 IPS |
|
|
Object Detection (SP)
|
100% |
4714
373.9 IPS |
|
|
Object Detection (HP)
|
100% |
5042
399.9 IPS |
|
|
Object Detection (Q)
|
92% |
4594
366.7 IPS |
|
|
Face Detection (SP)
|
100% |
18286
217.3 IPS |
|
|
Face Detection (HP)
|
100% |
19077
226.7 IPS |
|
|
Face Detection (Q)
|
100% |
16147
191.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
23632
182.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
25449
196.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
22786
178.0 IPS |
|
|
Style Transfer (SP)
|
100% |
79957
102.8 IPS |
|
|
Style Transfer (HP)
|
100% |
96632
124.2 IPS |
|
|
Style Transfer (Q)
|
96% |
94652
122.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15889
586.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16463
607.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14701
542.8 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4071
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
3994
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2002
34.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2078
35.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2075
35.9 IPS |
