Mac Studio
Geekbench AI Score
12764
Single Precision Score
14250
Half Precision Score
13363
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | michaldepta |
| Upload Date | September 09 2025 04:42 AM |
| Views | 4 |
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% |
5082
945.0 IPS |
|
|
Image Classification (HP)
|
100% |
5102
948.9 IPS |
|
|
Image Classification (Q)
|
96% |
4734
884.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
11669
189.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11988
194.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
11383
184.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
57082
66.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
62651
73.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
59422
69.6 IPS |
|
|
Object Detection (SP)
|
100% |
5211
413.3 IPS |
|
|
Object Detection (HP)
|
100% |
5296
420.1 IPS |
|
|
Object Detection (Q)
|
92% |
4985
397.9 IPS |
|
|
Face Detection (SP)
|
100% |
20794
247.1 IPS |
|
|
Face Detection (HP)
|
100% |
21956
260.9 IPS |
|
|
Face Detection (Q)
|
100% |
18753
222.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
26484
204.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
27589
212.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
25447
198.8 IPS |
|
|
Style Transfer (SP)
|
100% |
96470
124.0 IPS |
|
|
Style Transfer (HP)
|
100% |
121178
155.8 IPS |
|
|
Style Transfer (Q)
|
96% |
118627
153.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16695
616.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17615
650.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15376
567.8 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4046
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4012
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3204
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3253
56.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3259
56.3 IPS |
