Mac Studio
Geekbench AI Score
12468
Single Precision Score
13987
Half Precision Score
13154
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | thnzone6 |
| Upload Date | September 05 2025 09:29 PM |
| Views | 13 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5282
982.3 IPS |
|
|
Image Classification (HP)
|
100% |
5308
987.1 IPS |
|
|
Image Classification (Q)
|
96% |
4917
918.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
11932
193.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12226
198.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11655
188.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
57193
66.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
62773
73.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
59801
70.0 IPS |
|
|
Object Detection (SP)
|
100% |
5211
413.4 IPS |
|
|
Object Detection (HP)
|
100% |
5458
432.9 IPS |
|
|
Object Detection (Q)
|
92% |
5056
403.6 IPS |
|
|
Face Detection (SP)
|
100% |
21349
253.7 IPS |
|
|
Face Detection (HP)
|
100% |
22291
264.9 IPS |
|
|
Face Detection (Q)
|
100% |
19387
230.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
26749
206.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
28279
217.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
26202
204.7 IPS |
|
|
Style Transfer (SP)
|
100% |
96172
123.6 IPS |
|
|
Style Transfer (HP)
|
100% |
122369
157.3 IPS |
|
|
Style Transfer (Q)
|
96% |
119840
154.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17679
652.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18352
677.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16323
602.7 IPS |
|
|
Text Classification (SP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4062
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4049
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2187
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2242
38.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2226
38.5 IPS |
