Mac Studio (2023)
Geekbench AI Score
16125
Single Precision Score
18052
Half Precision Score
16950
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | petebu |
| Upload Date | May 17 2025 02:09 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,13 |
| Motherboard | Mac14,13 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.65 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6690
1.24 KIPS |
|
|
Image Classification (HP)
|
100% |
6981
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6307
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15926
258.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15598
252.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
14660
237.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
82268
96.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
88333
103.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
85502
100.1 IPS |
|
|
Object Detection (SP)
|
100% |
6411
508.5 IPS |
|
|
Object Detection (HP)
|
100% |
6581
522.0 IPS |
|
|
Object Detection (Q)
|
92% |
6134
489.6 IPS |
|
|
Face Detection (SP)
|
100% |
27478
326.5 IPS |
|
|
Face Detection (HP)
|
100% |
28698
341.0 IPS |
|
|
Face Detection (Q)
|
100% |
25368
301.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
32961
253.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
34017
262.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
31386
245.2 IPS |
|
|
Style Transfer (SP)
|
100% |
134904
173.4 IPS |
|
|
Style Transfer (HP)
|
100% |
154301
198.4 IPS |
|
|
Style Transfer (Q)
|
96% |
150650
194.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20367
752.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23433
865.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20777
767.2 IPS |
|
|
Text Classification (SP)
|
100% |
2349
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4138
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4122
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3619
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3975
68.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3931
67.9 IPS |
